It communicate from one vehicle ( source ) to another vehicle ( destination ) through different vehicles ( intermediate nodes ) . A numbers of different routing protocols for communication , ie multimedia data , text data etc . from one vehicle ( node ) to another vehicle are existing . MAC layer utilises the cluster tree formula to establish tree configuration . Subsequently , that cluster table is taken to the routing layer protocol of cross layer ZigBee-based routing protocol ( CLZBRP ) . Here CLZBRP is compared with ad hoc on-demand distance vector routing ( AODV ) and tree-routing ( TR ) with QOS . At routing layer every node gathers the number of packets and bytes awaiting transmission at MAC layers of nodes that are located within its circle of ' safe-distance ' and then finds congestion free routes . In addition , the routing layer protocol finds multiple node-disjoint paths for every source destination pair that is separated by a minimum of ' safe- distance ' except for the nodes located within ' safe-distance ' of source and destination nodes . The protocol also perform local repair of existing routes thus providing a good degree of safeguard against mobility of nodes . In the paper the authors show that this concept has the advantage of providing a means of improving the survivability of virtual channels . To this end , they present a simple rerouting protocol , which can be invoked upon the failure of an intermediate link or node of a virtual path . This protocol reroutes all the affected virtual channels to an alternative virtual path . Experiments that emulate the competition are conducted to prove the robustness of Choco . The results show that Choco consistently achieves 100 % reliability , while ORPL , the state-of-the-art routing-based protocol , suffers from 42 % of packet error rate in interfered environment . However , at present , the existing mobile ad hoc routing protocols are implemented to support only bidirectional links . In this paper , we propose the Advanced Routing routing protocol in order to implement a new routing protocol , which is fit to mobile ad hoc networks containing unidirectional links and to support QoS service . For the performance evaluation , we use NS-2 simulator of U.C. Berkeley . TRACE identifies different types of “ bad ” nodes that can affect the correct routing operation and the reliability of the message delivery to the sink base station ( BS ) . TRACE aids the routing protocol functionality and makes it more efficient and secure by using a centralized approach , where the more powerful and knowledgeable sink BS processes and validates the information received from the sensor nodes and calculates the maliciousness , competence , and cooperation levels of each node . The sink BS calculates two trust values for each node - namely Data Trust and Forwarding Trust and broadcasts a list of suspicious nodes in a Trust Report . The routing table is according to the routing protocol for the routing information in routing tables , and is the core of the routing protocol routing algorithms . In practical applications , the routing is a very complicated problem , because it is the result of all the nodes in the network coordination work together . Here , two approaches are presented for including the effect of between-haul variability when performing size-selectivity experiments for trawls . The first is a simple ad hoc approach that provides a “ catch-all ” estimate of variability that also takes into account the effect of subsampling the catches . The second is a formal model of random between-haul variability that is fitted via maximum likelihood . The combinations of such values are very large . Therefore , we have used Teaching-Learning Based Optimization ( TLBO ) technique to find optimal value of parameters for Ad-hoc On Demand Multipath Distance Vector ( AOMDV ) in given real scenario . The Experimental results show drastic improvements in Average End-to-End delay ( 90.50 % drop ) , Network Routing Load ( 41.68 % drop ) and Packet Delivery Ratio ( 0.39 % rise ) using value of parameters obtained through TLBO . A fixed host communicates with the mobile hosts within its cell via a wireless medium . On the other hand , the “ ad-hoc ” system model assumes that mobile hosts can form networks by using their own radio transmitters and receivers without participation of any fixed infrastructure . The structure of an ad-hoc mobile network is highly dynamic . Most of conventional VANET communication schemes only support short range transmission , vehicles need to relay traffic data or frequently switch to different roadside units . Such an ad hoc-based method suffers a high jitter delay and makes it difficult to develop travel and real-time multimedia services , such as traffic information dissemination and fleet management . Fortunately , existing novel wireless technologies , e.g. WiMAX mobile multi-relay ( MMR ) , provide long transmission range and high transmission rate in mobile environments . In this paper , we propose a new method to guarantee the successful V2V emergency message communication for safety warning by utilizing the commercialized WiBro wireless network . Different from the well-known V2V communication standards ( such as DSRC and WAVE ) which are basically an ad-hoc based approach , our method is on WiBro , also known as the Potable Internet , that is an infrastructured wireless network . In order to adopt V2V emergency communication to WiBro feasibly , a connectionless broadcasting scheme is suggested in this paper , in which the modification of uplink subframe structure is introduced and the fast up-down backoff ( FUDB ) algorithm is proposed . Many routing protocols for such networks have been proposed so far . Amongst the most popular ones are dynamic source routing ( DSR ) , ad hoc on-demand distance vector ( AODV ) , temporally-ordered routing algorithm ( TORA ) and location-aided routing ( LAR ) . Despite the popularity of those protocols , research efforts have not focused in evaluating their performance when applied to large-scale wireless networks . Most of the protocols in this category , however , show a long latency in route discovery since the cached routing information will be invalidated even if it is still effective . In this paper , we propose a scheme which is compatible to the existing Ad-hoc On-Demand Distance Vector ( AODV ) protocol and prevents the cached routing information from becoming invalidated without using any extra control message . We also verify the effectiveness of the newly proposed scheme by simulation experiments . Ad hoc routing is also of major importance for connectivity between communicating mobile hosts without backbone infrastructure . In this paper we propose and describe an integrated connectivity solution and its software implementation between an ad hoc network running the Ad Hoc On-Demand Distance-Vector Protocol ( AODV ) and a wired IP network where Mobile IP is used for mobility management . The article also describes a project called Mobile City in which our software solutions and support infrastructure are tested and validated . These models represent the movement of the mobile nodes , changes in their location , velocity and acceleration over time . In this paper , we study different mobility models and their performance over Ad Hoc On-Demand Distance Vector Routing Protocol(AODV ) and Dynamic Source Routing(DSR ) routing protocols . There is an attempt to provide an overview of the performance of various mobility models based on different parameters including throughput , packet delivery ratio , end-to-end delay , and jitter and routing load . We support the E2 mechanism design using an energy consumption model for MANET nodes and use a packet delivery delay model to explain the scalability and energy efficiency of CML . Through the integration process of E2-CML , we primarily aim at satisfying the requirements for emergency MANETs ( eMANETs ) but also intend to demonstrate that the proposed mechanism is portable across popular protocols such as Optimized Link State Routing ( OLSR ) and Ad hoc On-Demand Vector ( AODV ) . Finally , the paper presents simulation results to compare the improved routing performance of E2CML against both AODV and OLSR . We support the E2 mechanism design using an energy consumption model for MANET nodes and use a packet delivery delay model to explain the scalability and energy efficiency of CML . Through the integration process of E2-CML , we primarily aim at satisfying the requirements for emergency MANETs ( eMANETs ) , but also intend to demonstrate that the proposed mechanism is portable across popular protocols such as Optimized Link State Routing ( OLSR ) and Ad hoc On-Demand Vector ( AODV ) . Finally , the paper presents simulation results to compare the improved routing performance of E2CML against both AODV and OLSR . To this aim the paper introduces the cooperative-based routing algorithm to guarantee a good performance trade-off between reliability and energy efficiency of the overall wireless monitoring system . Simulations have been carried out in order to quantify the impact of the proposed algorithm on the overall monitoring system reliability and energy efficiency and a comparison is presented with the existing Ad-hoc On-Distance Vector ( AODV ) , the cooperation along the shortest non-cooperative path ( CASNCP ) and minimum-power cooperative routing ( MPCR ) algorithms . Finally it is shown the application of the proposed algorithm to healthcare monitoring system pointing out as the cooperation-based routing algorithms are suitable and rewarding for the management of the future generation of monitoring systems . The standard routing protocol of MANET(Mobile Ad-hoc NETwork ) , AODV(Ad-hoc On-demand Distance Vector ) , only considers the shortest path for routing , which may cause traffic concentration to a node at the critical path . Hence , the battery of the node will be dissipated rapidly to reduce the lifetime of the whole network . Ant-based routing algorithm is a class of ant colony optimization algorithms which are inspired by the behavior of ants in nature . In this paper , we propose an ant-based routing algorithm for mobile ad-hoc networks ( MANETs ) . Compared to traditional Basic Ant-Based Routing ( BABR ) , Improved Ant-Based Routing ( IABR ) , and Energy-Efficient Ant-Based Routing ( EEABR ) approaches , the proposed IEEABR approach has advantages of reduced energy usage and achieves a dynamic and adaptive routing that can effectively balance the WSN node power consumption and increase the network lifetime . This chapter covers applications and routing in WSNs , different methods for routing using ant colony optimization ( ACO ) , a summary of routing algorithms based on ant systems , and the Improved Energy-Efficient Ant-Based Routing Algorithm approach . Simulations results were analyzed while also looking at open research problems and future work to be done . At each node , AntNet , similar to others Ant Colony Optimization ( ACO ) based algorithms , forward ants based in the amount of pheromones present in the links and in response to the node 's queue lengths . In this paper , an adaptation of the e-DANTE algorithm for discrete problems , as an IP based routing mechanism , was implemented . We also propose the inclusion of a new parameter for the computation of paths for both the AntNet and the newly proposed algorithm : the available bandwith . The session routing , dynamic routing and the DVMRP , PIM protocol are simulated . The running process of this routing protocol are displayed by NAM , which can help the students to comprehend the conception of IP network routing protocol accurately . Communication method , a communication network using a non-IP network routing protocol , i.e. , to implement the network routing protocol other than IP network routing protocol such as WirelessHART protocol , or IP network routing protocol and is not compatible with the communication Networks , IPv6 It operates to transmit Internet protocol ( IP ) data frame such as data frames seamlessly . This communication method is , for example , field devices or other intellectual devices within the process plant network that uses a non-IP communication networks ( networks that do not use IP-based network routing ) is , within a process plant network or process plant off-network in one , are generated in the Internet protocol enabled device , or by making it possible to perform the messaging IP data frame received . In this paper , we design a novel flexible data center network architecture , Space Shuffle ( S2 ) , which applies greedy routing on multiple ring spaces to achieve high-throughput , scalability , and flexibility . The proposed greedy routing protocol of S2 effectively exploits the path diversity of densely connected topologies and enables key-based routing . Extensive experimental studies show that S2 provides high bisectional bandwidth and throughput , near-optimal routing path lengths , extremely small forwarding state , fairness among concurrent data flows , and resiliency to network failures . Given an object name , Ftree generates a set of keys using multiple hash functions . The name-record performs a key-based routing in a prefix tree and reaches a leaf node , becoming then its resolver . Using the same multiple hash functions , an object requester can select the key that corresponds to the nearest leaf resolver . Kademlia is considered to be one of the most effective key based routing protocols . It is nowadays implemented in many file sharing peer-to-peer networks such as BitTorrent , KAD , and Gnutella . Kademlia is considered to be one of the most effective key based routing protocols . It is nowadays implemented in many file sharing peer-to-peer networks such as BitTorrent , KAD , and Gnutella . Key-based routing schemes , where a message is forwarded towards a server responsible for a partition in a large name space , does not provide strong delivery guarantees when the network is reconfigured with servers joining and leaving . This best-effort behavior is sufficient for eventually consistent data services such as key-value stores , content distribution networks or publish/subscribe systems . In this paper we introduce a transport layer mobility solution that supports roaming of a mobile host without any necessary modifications to the underlying network and data link layers . A modified version of the new IETF transport protocol , SCTP , is shown to improve the handoff latency and delay . Using simulation results , we show that a noticeable improvement in performance is possible by monitoring the accessible networks , and making the appropriate handoff decisions . In this study , the ns2 network simulator is used as a simulation platform and different categories of simulation scenarios are executed . Moreover , the IETF DiffServ scheme is used as a comparison to understand the packet forwarding performance of the proposed scheme . By analyzing simulation data , two important points can be drawn . The proposed queuing scheme supports a differentiated packet forwarding behavior among four types of UMTS traffic . And , the differentiated packet forwarding behaviors with the proposed queuing scheme are similar to the packet forwarding behavior with the IETF DiffServ scheme . The simulation results show that the proposed queuing scheme supports a differentiated packet forwarding process for different types of IP traffic . The differentiated packet forwarding performance supported by the proposed scheme is close to the IETF DiffServ scheme ; this result shows that the proposed scheme can support differentiated packet forwarding performance for different types of IP traffic with a lower operation cost . Under this structure , the IETF Administrative Oversight Committee ( IAOC ) was eliminated , and its oversight and advising functions transferred to the IETF LLC Board . The IETF LLC provides the corporate legal home for the IETF , the Internet Architecture Board ( IAB ) , and the Internet Research Task Force ( IRTF ) , and financial support for the operation of the RFC Editor . This document describes the structure of the IETF Administrative Support Activity , version 2 ( IASA 2.0 ) . The process by which the members of the IAB and IESG , some Trustees of the IETF Trust , and some Directors of the IETF LLC are selected , confirmed , and recalled is specified in this document . This document is based on RFC7437 . This paper introduces the principle of Domain Name System firstly ; after analyzing the hidden security problem in current DNS , this paper gives the up-to-date IETF security extensions for DNS and its realization mechanisms . It is not intended to be a new set of concrete interfaces or technologies . Rather , it should be seen as an explanation of how some existing , concrete IETF VPN and traffic- engineering technologies can be used to create transport slices . Note that there are is a rather large of these technologies , and new technologies or capabilities keep being added . The objective of this document is to describe what whitelisting of DNS AAAA resource records is , or DNS whitelisting for short , as well as what the implications of this emerging practice are and what alternatives may exist . The audience for this document is the Internet community generally , including the IETF and IPv6 implementers . But IP was designed for wired networks and wireless scenario was not envisioned . Owing to explosive growth of wireless users and growing demand of wireless services the internet body IETF has developed mobility management schemes to enhance IP in mobility scenarios for wireless subscribers . This trend has resulted in the development of Mobile IP to support node mobility . At the same time , ACOSO-Meth allows the re-engineering of existing IoT systems , thus enhancing their maintainability , reusability and extensibility . In such direction , this paper ( i ) first presents the integration of the resource-oriented agent framework complying with the IETF Constrained RESTful Environment ( CoRE ) framework into ACOSO-Meth ; then ( ii ) reports a case study to exemplify the re-engineering of a resource-constrained agent application through the ACOSO-Meth metamodel-driven The enhanced mail must be backwards compatible with existing Internet mail . The primary motivation for this effort is -- by making Internet mail protocols richer and more adaptable to varied media and environments -- to allow mobile handheld devices tetherless access to Internet mail using only IETF mail protocols . The requirements for these devices drive a discussion of the possible protocol enhancements needed to support multimedia messaging on limited-capability hosts in diverse service environments . Nevertheless , it is not yet clear what form this evolution is likely to take , which phases are likely to exist , and how the transition process will proceed . This article examines existing IETF IPv6 transitioning mechanisms and discusses the key issues involved in IPv6 deployment . We examine those aspects that potentially affect the choice of transition mechanisms and look at what factors are likely to mould the evolutionary path . By introducing abstractions in the form of summary nodes , the method is extended to protocols with recursive data structures . Our tool automatically verifies correct routing of the DYMO ad hoc routing protocol and several nontrivial heap manipulating programs . We implement the technique in a graph grammar analysis tool , and automatically verify several interesting nontrivial examples . Notably , we prove loop freedom for the DYMO ad hoc routing protocol . DYMO is currently on the IETF standards track , to potentially become an Internet standard . A novel contribution of this work is enhancement of default ERS in the protocols to optimize Bk and E[t ] . Using NS-2 , we evaluate and compare default-ERS used by these protocols ; AODV-ERS1 , DSR-ERS1 and DYMO-ERS1 with enhanced-ERS ; AODV-ERS2 , DSR-ERS2 and DYMO-ERS2 . From modeling and analytical comparison , we deduce that by adjusting Time-To-Live ( T TL ) value of a network , efficient optimizations of Bk and E[t ] can be achieved . Here in this paper we are enhancing the performance of DYMO routing protocol by considering the energy and traffic parameters of the network . Also we are comparing En-DYMO with existing DYMO and AODV routing protocols in terms of average throughput and packet delivery ratio . This paper presents a formal model of DYMO using Coloured Petri Nets . The model has a compact net structure , with functions in the arc inscriptions representing DYMO 's routing algorithms . The paper shows how careful crafting of the model results in smaller state spaces , compared with models using intuitively appealing hierarchical constructs . The data packet delivery ratio , average end-to-end delay , total energy consumption , network lifetime and percentage of time in sleep mode are investigated as the performance metrics . The results show that DSR performs better than DYMO , AODV routing protocols for varying traffic loads in star topology beacon enabled mode . Various routing protocols have been proposed by researchers for mobile ad-hoc networks in the recent past . This paper presents performance evaluation and comparison of three different On-Demand routing protocols for Mobile Ad-Hoc Networks i.e. Ad hoc On-Demand Distance Vector ( AODV ) , Dynamic Source Routing ( DSR ) , and DYnamic MANET On-demand ( DYMO ) protocols in variable pause times . We have used random waypoint mobility model to design the network and performed simulations by using QualNet version 5.0 Simulator from Scalable Networks for CBR traffic in MANET . In this paper we present our real-world DYMO implementation , called EK-DYMOv6 . EK-DYMOv6 is the first DYMO implementation trial with two features : ( a ) conforming to recent DYMO ( DYMO-05 ) and PacketBB ( PacketBB-01 ) drafts , and ( b ) running on the Linux in IPv6 environment .
It communicate from one vehicle ( source ) to another vehicle ( destination ) through different vehicles ( intermediate nodes ) . A numbers of different routing protocols for communication , ie multimedia data , text data etc . from one vehicle ( node ) to another vehicle are existing .
MAC layer utilises the cluster tree formula to establish tree configuration . Subsequently , that cluster table is taken to the routing layer protocol of cross layer ZigBee-based routing protocol ( CLZBRP ) . Here CLZBRP is compared with ad hoc on-demand distance vector routing ( AODV ) and tree-routing ( TR ) with QOS .
At routing layer every node gathers the number of packets and bytes awaiting transmission at MAC layers of nodes that are located within its circle of ' safe-distance ' and then finds congestion free routes . In addition , the routing layer protocol finds multiple node-disjoint paths for every source destination pair that is separated by a minimum of ' safe- distance ' except for the nodes located within ' safe-distance ' of source and destination nodes . The protocol also perform local repair of existing routes thus providing a good degree of safeguard against mobility of nodes .
In the paper the authors show that this concept has the advantage of providing a means of improving the survivability of virtual channels . To this end , they present a simple rerouting protocol , which can be invoked upon the failure of an intermediate link or node of a virtual path . This protocol reroutes all the affected virtual channels to an alternative virtual path .
Experiments that emulate the competition are conducted to prove the robustness of Choco . The results show that Choco consistently achieves 100 % reliability , while ORPL , the state-of-the-art routing-based protocol , suffers from 42 % of packet error rate in interfered environment .
However , at present , the existing mobile ad hoc routing protocols are implemented to support only bidirectional links . In this paper , we propose the Advanced Routing routing protocol in order to implement a new routing protocol , which is fit to mobile ad hoc networks containing unidirectional links and to support QoS service . For the performance evaluation , we use NS-2 simulator of U.C. Berkeley .
TRACE identifies different types of “ bad ” nodes that can affect the correct routing operation and the reliability of the message delivery to the sink base station ( BS ) . TRACE aids the routing protocol functionality and makes it more efficient and secure by using a centralized approach , where the more powerful and knowledgeable sink BS processes and validates the information received from the sensor nodes and calculates the maliciousness , competence , and cooperation levels of each node . The sink BS calculates two trust values for each node - namely Data Trust and Forwarding Trust and broadcasts a list of suspicious nodes in a Trust Report .
The routing table is according to the routing protocol for the routing information in routing tables , and is the core of the routing protocol routing algorithms . In practical applications , the routing is a very complicated problem , because it is the result of all the nodes in the network coordination work together .
Here , two approaches are presented for including the effect of between-haul variability when performing size-selectivity experiments for trawls . The first is a simple ad hoc approach that provides a “ catch-all ” estimate of variability that also takes into account the effect of subsampling the catches . The second is a formal model of random between-haul variability that is fitted via maximum likelihood .
The combinations of such values are very large . Therefore , we have used Teaching-Learning Based Optimization ( TLBO ) technique to find optimal value of parameters for Ad-hoc On Demand Multipath Distance Vector ( AOMDV ) in given real scenario . The Experimental results show drastic improvements in Average End-to-End delay ( 90.50 % drop ) , Network Routing Load ( 41.68 % drop ) and Packet Delivery Ratio ( 0.39 % rise ) using value of parameters obtained through TLBO .
A fixed host communicates with the mobile hosts within its cell via a wireless medium . On the other hand , the “ ad-hoc ” system model assumes that mobile hosts can form networks by using their own radio transmitters and receivers without participation of any fixed infrastructure . The structure of an ad-hoc mobile network is highly dynamic .
Most of conventional VANET communication schemes only support short range transmission , vehicles need to relay traffic data or frequently switch to different roadside units . Such an ad hoc-based method suffers a high jitter delay and makes it difficult to develop travel and real-time multimedia services , such as traffic information dissemination and fleet management . Fortunately , existing novel wireless technologies , e.g. WiMAX mobile multi-relay ( MMR ) , provide long transmission range and high transmission rate in mobile environments .
In this paper , we propose a new method to guarantee the successful V2V emergency message communication for safety warning by utilizing the commercialized WiBro wireless network . Different from the well-known V2V communication standards ( such as DSRC and WAVE ) which are basically an ad-hoc based approach , our method is on WiBro , also known as the Potable Internet , that is an infrastructured wireless network . In order to adopt V2V emergency communication to WiBro feasibly , a connectionless broadcasting scheme is suggested in this paper , in which the modification of uplink subframe structure is introduced and the fast up-down backoff ( FUDB ) algorithm is proposed .
Many routing protocols for such networks have been proposed so far . Amongst the most popular ones are dynamic source routing ( DSR ) , ad hoc on-demand distance vector ( AODV ) , temporally-ordered routing algorithm ( TORA ) and location-aided routing ( LAR ) . Despite the popularity of those protocols , research efforts have not focused in evaluating their performance when applied to large-scale wireless networks .
Most of the protocols in this category , however , show a long latency in route discovery since the cached routing information will be invalidated even if it is still effective . In this paper , we propose a scheme which is compatible to the existing Ad-hoc On-Demand Distance Vector ( AODV ) protocol and prevents the cached routing information from becoming invalidated without using any extra control message . We also verify the effectiveness of the newly proposed scheme by simulation experiments .
Ad hoc routing is also of major importance for connectivity between communicating mobile hosts without backbone infrastructure . In this paper we propose and describe an integrated connectivity solution and its software implementation between an ad hoc network running the Ad Hoc On-Demand Distance-Vector Protocol ( AODV ) and a wired IP network where Mobile IP is used for mobility management . The article also describes a project called Mobile City in which our software solutions and support infrastructure are tested and validated .
These models represent the movement of the mobile nodes , changes in their location , velocity and acceleration over time . In this paper , we study different mobility models and their performance over Ad Hoc On-Demand Distance Vector Routing Protocol(AODV ) and Dynamic Source Routing(DSR ) routing protocols . There is an attempt to provide an overview of the performance of various mobility models based on different parameters including throughput , packet delivery ratio , end-to-end delay , and jitter and routing load .
We support the E2 mechanism design using an energy consumption model for MANET nodes and use a packet delivery delay model to explain the scalability and energy efficiency of CML . Through the integration process of E2-CML , we primarily aim at satisfying the requirements for emergency MANETs ( eMANETs ) but also intend to demonstrate that the proposed mechanism is portable across popular protocols such as Optimized Link State Routing ( OLSR ) and Ad hoc On-Demand Vector ( AODV ) . Finally , the paper presents simulation results to compare the improved routing performance of E2CML against both AODV and OLSR .
We support the E2 mechanism design using an energy consumption model for MANET nodes and use a packet delivery delay model to explain the scalability and energy efficiency of CML . Through the integration process of E2-CML , we primarily aim at satisfying the requirements for emergency MANETs ( eMANETs ) , but also intend to demonstrate that the proposed mechanism is portable across popular protocols such as Optimized Link State Routing ( OLSR ) and Ad hoc On-Demand Vector ( AODV ) . Finally , the paper presents simulation results to compare the improved routing performance of E2CML against both AODV and OLSR .
To this aim the paper introduces the cooperative-based routing algorithm to guarantee a good performance trade-off between reliability and energy efficiency of the overall wireless monitoring system . Simulations have been carried out in order to quantify the impact of the proposed algorithm on the overall monitoring system reliability and energy efficiency and a comparison is presented with the existing Ad-hoc On-Distance Vector ( AODV ) , the cooperation along the shortest non-cooperative path ( CASNCP ) and minimum-power cooperative routing ( MPCR ) algorithms . Finally it is shown the application of the proposed algorithm to healthcare monitoring system pointing out as the cooperation-based routing algorithms are suitable and rewarding for the management of the future generation of monitoring systems .
The standard routing protocol of MANET(Mobile Ad-hoc NETwork ) , AODV(Ad-hoc On-demand Distance Vector ) , only considers the shortest path for routing , which may cause traffic concentration to a node at the critical path . Hence , the battery of the node will be dissipated rapidly to reduce the lifetime of the whole network .
Ant-based routing algorithm is a class of ant colony optimization algorithms which are inspired by the behavior of ants in nature . In this paper , we propose an ant-based routing algorithm for mobile ad-hoc networks ( MANETs ) .
Compared to traditional Basic Ant-Based Routing ( BABR ) , Improved Ant-Based Routing ( IABR ) , and Energy-Efficient Ant-Based Routing ( EEABR ) approaches , the proposed IEEABR approach has advantages of reduced energy usage and achieves a dynamic and adaptive routing that can effectively balance the WSN node power consumption and increase the network lifetime . This chapter covers applications and routing in WSNs , different methods for routing using ant colony optimization ( ACO ) , a summary of routing algorithms based on ant systems , and the Improved Energy-Efficient Ant-Based Routing Algorithm approach . Simulations results were analyzed while also looking at open research problems and future work to be done .
At each node , AntNet , similar to others Ant Colony Optimization ( ACO ) based algorithms , forward ants based in the amount of pheromones present in the links and in response to the node 's queue lengths . In this paper , an adaptation of the e-DANTE algorithm for discrete problems , as an IP based routing mechanism , was implemented . We also propose the inclusion of a new parameter for the computation of paths for both the AntNet and the newly proposed algorithm : the available bandwith .
The session routing , dynamic routing and the DVMRP , PIM protocol are simulated . The running process of this routing protocol are displayed by NAM , which can help the students to comprehend the conception of IP network routing protocol accurately .
Communication method , a communication network using a non-IP network routing protocol , i.e. , to implement the network routing protocol other than IP network routing protocol such as WirelessHART protocol , or IP network routing protocol and is not compatible with the communication Networks , IPv6 It operates to transmit Internet protocol ( IP ) data frame such as data frames seamlessly . This communication method is , for example , field devices or other intellectual devices within the process plant network that uses a non-IP communication networks ( networks that do not use IP-based network routing ) is , within a process plant network or process plant off-network in one , are generated in the Internet protocol enabled device , or by making it possible to perform the messaging IP data frame received .
In this paper , we design a novel flexible data center network architecture , Space Shuffle ( S2 ) , which applies greedy routing on multiple ring spaces to achieve high-throughput , scalability , and flexibility . The proposed greedy routing protocol of S2 effectively exploits the path diversity of densely connected topologies and enables key-based routing . Extensive experimental studies show that S2 provides high bisectional bandwidth and throughput , near-optimal routing path lengths , extremely small forwarding state , fairness among concurrent data flows , and resiliency to network failures .
Given an object name , Ftree generates a set of keys using multiple hash functions . The name-record performs a key-based routing in a prefix tree and reaches a leaf node , becoming then its resolver . Using the same multiple hash functions , an object requester can select the key that corresponds to the nearest leaf resolver .
Kademlia is considered to be one of the most effective key based routing protocols . It is nowadays implemented in many file sharing peer-to-peer networks such as BitTorrent , KAD , and Gnutella .
Kademlia is considered to be one of the most effective key based routing protocols . It is nowadays implemented in many file sharing peer-to-peer networks such as BitTorrent , KAD , and Gnutella .
Key-based routing schemes , where a message is forwarded towards a server responsible for a partition in a large name space , does not provide strong delivery guarantees when the network is reconfigured with servers joining and leaving . This best-effort behavior is sufficient for eventually consistent data services such as key-value stores , content distribution networks or publish/subscribe systems .
In this paper we introduce a transport layer mobility solution that supports roaming of a mobile host without any necessary modifications to the underlying network and data link layers . A modified version of the new IETF transport protocol , SCTP , is shown to improve the handoff latency and delay . Using simulation results , we show that a noticeable improvement in performance is possible by monitoring the accessible networks , and making the appropriate handoff decisions .
In this study , the ns2 network simulator is used as a simulation platform and different categories of simulation scenarios are executed . Moreover , the IETF DiffServ scheme is used as a comparison to understand the packet forwarding performance of the proposed scheme . By analyzing simulation data , two important points can be drawn . The proposed queuing scheme supports a differentiated packet forwarding behavior among four types of UMTS traffic . And , the differentiated packet forwarding behaviors with the proposed queuing scheme are similar to the packet forwarding behavior with the IETF DiffServ scheme .
The simulation results show that the proposed queuing scheme supports a differentiated packet forwarding process for different types of IP traffic . The differentiated packet forwarding performance supported by the proposed scheme is close to the IETF DiffServ scheme ; this result shows that the proposed scheme can support differentiated packet forwarding performance for different types of IP traffic with a lower operation cost .
Under this structure , the IETF Administrative Oversight Committee ( IAOC ) was eliminated , and its oversight and advising functions transferred to the IETF LLC Board . The IETF LLC provides the corporate legal home for the IETF , the Internet Architecture Board ( IAB ) , and the Internet Research Task Force ( IRTF ) , and financial support for the operation of the RFC Editor . This document describes the structure of the IETF Administrative Support Activity , version 2 ( IASA 2.0 ) .
The process by which the members of the IAB and IESG , some Trustees of the IETF Trust , and some Directors of the IETF LLC are selected , confirmed , and recalled is specified in this document . This document is based on RFC7437 .
This paper introduces the principle of Domain Name System firstly ; after analyzing the hidden security problem in current DNS , this paper gives the up-to-date IETF security extensions for DNS and its realization mechanisms .
It is not intended to be a new set of concrete interfaces or technologies . Rather , it should be seen as an explanation of how some existing , concrete IETF VPN and traffic- engineering technologies can be used to create transport slices . Note that there are is a rather large of these technologies , and new technologies or capabilities keep being added .
The objective of this document is to describe what whitelisting of DNS AAAA resource records is , or DNS whitelisting for short , as well as what the implications of this emerging practice are and what alternatives may exist . The audience for this document is the Internet community generally , including the IETF and IPv6 implementers .
But IP was designed for wired networks and wireless scenario was not envisioned . Owing to explosive growth of wireless users and growing demand of wireless services the internet body IETF has developed mobility management schemes to enhance IP in mobility scenarios for wireless subscribers . This trend has resulted in the development of Mobile IP to support node mobility .
At the same time , ACOSO-Meth allows the re-engineering of existing IoT systems , thus enhancing their maintainability , reusability and extensibility . In such direction , this paper ( i ) first presents the integration of the resource-oriented agent framework complying with the IETF Constrained RESTful Environment ( CoRE ) framework into ACOSO-Meth ; then ( ii ) reports a case study to exemplify the re-engineering of a resource-constrained agent application through the ACOSO-Meth metamodel-driven
The enhanced mail must be backwards compatible with existing Internet mail . The primary motivation for this effort is -- by making Internet mail protocols richer and more adaptable to varied media and environments -- to allow mobile handheld devices tetherless access to Internet mail using only IETF mail protocols . The requirements for these devices drive a discussion of the possible protocol enhancements needed to support multimedia messaging on limited-capability hosts in diverse service environments .
Nevertheless , it is not yet clear what form this evolution is likely to take , which phases are likely to exist , and how the transition process will proceed . This article examines existing IETF IPv6 transitioning mechanisms and discusses the key issues involved in IPv6 deployment . We examine those aspects that potentially affect the choice of transition mechanisms and look at what factors are likely to mould the evolutionary path .
By introducing abstractions in the form of summary nodes , the method is extended to protocols with recursive data structures . Our tool automatically verifies correct routing of the DYMO ad hoc routing protocol and several nontrivial heap manipulating programs .
We implement the technique in a graph grammar analysis tool , and automatically verify several interesting nontrivial examples . Notably , we prove loop freedom for the DYMO ad hoc routing protocol . DYMO is currently on the IETF standards track , to potentially become an Internet standard .
A novel contribution of this work is enhancement of default ERS in the protocols to optimize Bk and E[t ] . Using NS-2 , we evaluate and compare default-ERS used by these protocols ; AODV-ERS1 , DSR-ERS1 and DYMO-ERS1 with enhanced-ERS ; AODV-ERS2 , DSR-ERS2 and DYMO-ERS2 . From modeling and analytical comparison , we deduce that by adjusting Time-To-Live ( T TL ) value of a network , efficient optimizations of Bk and E[t ] can be achieved .
Here in this paper we are enhancing the performance of DYMO routing protocol by considering the energy and traffic parameters of the network . Also we are comparing En-DYMO with existing DYMO and AODV routing protocols in terms of average throughput and packet delivery ratio .
This paper presents a formal model of DYMO using Coloured Petri Nets . The model has a compact net structure , with functions in the arc inscriptions representing DYMO 's routing algorithms . The paper shows how careful crafting of the model results in smaller state spaces , compared with models using intuitively appealing hierarchical constructs .
The data packet delivery ratio , average end-to-end delay , total energy consumption , network lifetime and percentage of time in sleep mode are investigated as the performance metrics . The results show that DSR performs better than DYMO , AODV routing protocols for varying traffic loads in star topology beacon enabled mode .
Various routing protocols have been proposed by researchers for mobile ad-hoc networks in the recent past . This paper presents performance evaluation and comparison of three different On-Demand routing protocols for Mobile Ad-Hoc Networks i.e. Ad hoc On-Demand Distance Vector ( AODV ) , Dynamic Source Routing ( DSR ) , and DYnamic MANET On-demand ( DYMO ) protocols in variable pause times . We have used random waypoint mobility model to design the network and performed simulations by using QualNet version 5.0 Simulator from Scalable Networks for CBR traffic in MANET .
In this paper we present our real-world DYMO implementation , called EK-DYMOv6 . EK-DYMOv6 is the first DYMO implementation trial with two features : ( a ) conforming to recent DYMO ( DYMO-05 ) and PacketBB ( PacketBB-01 ) drafts , and ( b ) running on the Linux in IPv6 environment .
Comparison of Stack Implemented AODV (ai-sAODV) with Queue Implemented AODV (ai-dqAODV) for VANET in Signal Fading Scenario Energy efficient routing algorithm over cross layer design and enrichment of security in ZigBee network A Novel Cross-layer Node-Disjoint Multipath Routing Protocol for Ad Hoc Networks Connection management and rerouting in ATM networks Competition: Is Concurrent Transmission Flooding a Good Idea for Random Traffic? QoS Routing Protocol using multi path in Unidirectional Mobile Ad Hoc Networks TRACE: A centralized Trust And Competence-based Energy-efficient routing scheme for wireless sensor networks The analysis and application of distance vector routing protocol Modelling between-haul variability in the size selectivity of trawls Optimization of Value of Parameters in Ad-hoc on Demand Multipath Distance Vector Routing Using Teaching-Learning Based Optimization Fundamental distributed protocols in mobile networks Communication framework for vehicle ad hoc network on freeways Vehicle-to-Vehicle emergency message dissemination through the WiBro network A Comprehensive Comparison of Routing Protocols for Large-Scale Wireless MANETs AODV compatible routing with extensive use of cache information in ad-hoc networks Software Solutions to Internet Connectivity in Mobile Ad Hoc Networks Analysis of Different Mobility Models for Ad Hoc On-Demand Distance Vector Routing Protocol and Dynamic Source Routing Protocol Energy Efficient and Scalable Routing Protocol for Extreme Emergency Ad Hoc Communications Energy Efficient and Scalable Routing Protocol for Extreme Emergency Ad Hoc Communications Reliable and energy-efficient cooperative routing algorithm for wireless monitoring systems Power Dissipation Considered AODV for Fair Energy Distribution in MANET An Efficient Ant-based Routing Algorithm for MANETs Improved Energy-Efficient Ant-Based Routing Algorithm in Wireless Sensor Networks Ant colony optimization routing mechanisms with bandwidth sensing Research of the Computer Networks Curriculum Aided Teaching Based on NS2 Transmitting data frames over a communication network using the incompatible network routing protocol Space Shuffle: A Scalable, Flexible, and High-Performance Data Center Network A bottleneck-free tree-based name resolution system for Information-Centric Networking Kaleidoscope: Adding colors to Kademlia Shades: Expediting Kademlia's Lookup Process RECODE: Reconfigurable, consistent and decentralized data services Performance evaluation of a transport layer solution for seamless vertical mobility A Study on Differentiated Service Queuing Scheme with an Overflow Buffer Allocation Within a UMTS Core Network A Study on Adaptive Time Token Priority-Based Queuing Scheme Structure of the IETF Administrative Support Activity, Version 2.0 IAB, IESG, IETF Trust, and IETF LLC Selection, Confirmation, and Recall Process: Operation of the IETF Nominating and Recall Committees Domain Name System Security Mechanisms Framework for Transport Network Slices IPv6 AAAA DNS Whitelisting Implications Quality of Service Model and Signaling for Cellular IP Access Network Re-Engineering IoT Systems through ACOSO-Meth: the IETF CoRE based Agent Framework Case Study Goals for Internet Messaging to Support Diverse Service Environments Realizing the transition to IPv6 Symbolic Backward Reachability with Summary Nodes for Graph Grammar Verification Graph Grammar Modeling and Verification of Ad Hoc Routing Protocols Modeling and evaluating enhancements in Expanding Ring Search algorithm for wireless reactive protocols Enhanced dynamic MANET on-demand(En-DYMO) routing protocol for mobile adhoc networks On Modelling and Analysing the Dynamic MANET On-Demand (DYMO) Routing Protocol Performance analysis of quality of service parameters for IEEE 802.15.4 star topology using MANET routing Random waypoint mobility model based performance estimation of On-Demand routing protocols in MANET for CBR applications EK-DYMOv6: Implementation of DYMO with PacketBB Conformance in IPv6 Environment
9917eb582f82dd7b0313e7edc5b7c7949676e5c4 b09141fe7a44d6916c46abff79cdf0e0bff8ce5d 0f09c233e51a97c3ba36e1d4d37d87c313963e2c 0a9d6b20c1a9b12905e4f5809aadb4d511ea8d42 657420f19b000f1a58b163750210ea893791a37a c81d30ff6f9737580d17cf199fcaf1f667263b6d e9baf36f9ed0cf91f37629a0bab8352108a42a9b 0a9ce58b604f61502e8c06c936ed68285d155815 9ffe59a698a13d85e1c506f1d288c3508a69265f 2b66f6345091f4174138ead06c4b9a8cc09ec34d acd9719c5ffd17f52d1b911b351030d97df2b6c6 d6d5e290b80e2b7b2740cca96469321310079d45 95f97d2c03c06bc6fd045d38577c299031d8822b 9928bfab5ef374e42ab30f8222be9c460afef313 87972e2882d883671ef90331b8de84b2beb2359a 80e68c32255c1ff8bb403c6428da2193ab06ea16 c2bccc2559bb1b8652da5ddf848c5c5264aa7213 e8752676dd5dd375fde48a5cfda3e9009c7a47b4 6cb35c53ebee9b008d2601dfd7457fb41473f52b 50127b7c5021c9b7837078272a72bea5f7f3a0ca 8de84a4fee3fb827d7feec550002cd0511690661 6a360fdad388de3620134f48085ce968fb555cfc d81bed40f0e06014a38e3173da89d02518759346 21cae5ee5a338a1c44c163dbdda1474b5c4e2e23 83137ff329dfef221eff55c62e989d0a106751b0 bf838b7acdf4fe420b65d0eba62202db232bcf9e a7d1af64c337da7f2c19e3528525c82de43a8abd 4752160c29ee70555a0d12dcb20a3f9df08c4fc7 1ef511ab8e0025e08c95452e5f306868779f9b0f 6c6e32cc75e339f0feda68221a9ac0b13c536944 9568bbd3306466783231bc55ce28f189ae3320de 9f1918ddb8228d816e6c06d835d94858973f561e f14cac24a6538fafe2e4a0eb33b9702140ffe9fe 6831375dff7d469db703349d4d3af7c1cdea866a 87977e9c3fcd5b9d9b4059f15ef269e6862cd31f 5050d7d158ca7e02c099c2ddc0e875cc54248433 63fc21b74ea2c54d6d9a80ba992b9124e8648e7a 572d6e5bbce6b38e982a120680fd8ab9101ade52 36df1a70764e4c219ac3728879e5c08078f2287d 5745313a5566551a7372a9a3a6be02f907e87028 df5ace6f9ae4377f9cc5d7f7cfa1cee5baabf846 51201ea3f31301d18a8a05debcc5ae460ce8e578 89ce05fa976a4f0e2aaa63a371c1b9196419d314 2e836fc75e34b142069182b9e8cde8494dff975a 9fef2f90c21e31b07aac7609cdd6870a54c911e6 3fce61d33f034f5f432debe422e6efdd3d46ab4c 63297bddd801ebc835e88add627b7662f7f9112a 923ae432524923224c67b4d491518bbbda5d3de1 de265c1fec029cb544c04ee682755f7831840d50 ffdafc3c6e39d24127d66ec7eccabd9e56fe8dc3 313e649ded1a7b98caf5a019f773254121216170
["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Biology"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Business"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"]
2016 2017 2013 1994 2016 2002 2011 2015 2004 2015 1999 2012 2010 2006 2002 2002 2013 2010 2012 2012 2008 2008 2012 2011 2009 2012 2016 2015 2013 2014 2013 2005 2010 2013 2020 2019 2000 2020 2010 2004 2018 2006 2002 2008 2008 2012 2015 2009 2010 2014 2007
INFOCOM EWSN IWCMC PODC SECON SAC PROFES MobiMedia EUROCON P2P Euro-Par P2P Broadband Satellite Comunication Systems WOA TACAS CCECE ICWET
https://api.semanticscholar.org/9917eb582f82dd7b0313e7edc5b7c7949676e5c4 https://api.semanticscholar.org/b09141fe7a44d6916c46abff79cdf0e0bff8ce5d https://api.semanticscholar.org/0f09c233e51a97c3ba36e1d4d37d87c313963e2c https://api.semanticscholar.org/0a9d6b20c1a9b12905e4f5809aadb4d511ea8d42 https://api.semanticscholar.org/657420f19b000f1a58b163750210ea893791a37a https://api.semanticscholar.org/c81d30ff6f9737580d17cf199fcaf1f667263b6d https://api.semanticscholar.org/e9baf36f9ed0cf91f37629a0bab8352108a42a9b https://api.semanticscholar.org/0a9ce58b604f61502e8c06c936ed68285d155815 https://api.semanticscholar.org/9ffe59a698a13d85e1c506f1d288c3508a69265f https://api.semanticscholar.org/2b66f6345091f4174138ead06c4b9a8cc09ec34d https://api.semanticscholar.org/acd9719c5ffd17f52d1b911b351030d97df2b6c6 https://api.semanticscholar.org/d6d5e290b80e2b7b2740cca96469321310079d45 https://api.semanticscholar.org/95f97d2c03c06bc6fd045d38577c299031d8822b https://api.semanticscholar.org/9928bfab5ef374e42ab30f8222be9c460afef313 https://api.semanticscholar.org/87972e2882d883671ef90331b8de84b2beb2359a https://api.semanticscholar.org/80e68c32255c1ff8bb403c6428da2193ab06ea16 https://api.semanticscholar.org/c2bccc2559bb1b8652da5ddf848c5c5264aa7213 https://api.semanticscholar.org/e8752676dd5dd375fde48a5cfda3e9009c7a47b4 https://api.semanticscholar.org/6cb35c53ebee9b008d2601dfd7457fb41473f52b https://api.semanticscholar.org/50127b7c5021c9b7837078272a72bea5f7f3a0ca https://api.semanticscholar.org/8de84a4fee3fb827d7feec550002cd0511690661 https://api.semanticscholar.org/6a360fdad388de3620134f48085ce968fb555cfc https://api.semanticscholar.org/d81bed40f0e06014a38e3173da89d02518759346 https://api.semanticscholar.org/21cae5ee5a338a1c44c163dbdda1474b5c4e2e23 https://api.semanticscholar.org/83137ff329dfef221eff55c62e989d0a106751b0 https://api.semanticscholar.org/bf838b7acdf4fe420b65d0eba62202db232bcf9e https://api.semanticscholar.org/a7d1af64c337da7f2c19e3528525c82de43a8abd https://api.semanticscholar.org/4752160c29ee70555a0d12dcb20a3f9df08c4fc7 https://api.semanticscholar.org/1ef511ab8e0025e08c95452e5f306868779f9b0f https://api.semanticscholar.org/6c6e32cc75e339f0feda68221a9ac0b13c536944 https://api.semanticscholar.org/9568bbd3306466783231bc55ce28f189ae3320de https://api.semanticscholar.org/9f1918ddb8228d816e6c06d835d94858973f561e https://api.semanticscholar.org/f14cac24a6538fafe2e4a0eb33b9702140ffe9fe https://api.semanticscholar.org/6831375dff7d469db703349d4d3af7c1cdea866a https://api.semanticscholar.org/87977e9c3fcd5b9d9b4059f15ef269e6862cd31f https://api.semanticscholar.org/5050d7d158ca7e02c099c2ddc0e875cc54248433 https://api.semanticscholar.org/63fc21b74ea2c54d6d9a80ba992b9124e8648e7a https://api.semanticscholar.org/572d6e5bbce6b38e982a120680fd8ab9101ade52 https://api.semanticscholar.org/36df1a70764e4c219ac3728879e5c08078f2287d https://api.semanticscholar.org/5745313a5566551a7372a9a3a6be02f907e87028 https://api.semanticscholar.org/df5ace6f9ae4377f9cc5d7f7cfa1cee5baabf846 https://api.semanticscholar.org/51201ea3f31301d18a8a05debcc5ae460ce8e578 https://api.semanticscholar.org/89ce05fa976a4f0e2aaa63a371c1b9196419d314 https://api.semanticscholar.org/2e836fc75e34b142069182b9e8cde8494dff975a https://api.semanticscholar.org/9fef2f90c21e31b07aac7609cdd6870a54c911e6 https://api.semanticscholar.org/3fce61d33f034f5f432debe422e6efdd3d46ab4c https://api.semanticscholar.org/63297bddd801ebc835e88add627b7662f7f9112a https://api.semanticscholar.org/923ae432524923224c67b4d491518bbbda5d3de1 https://api.semanticscholar.org/de265c1fec029cb544c04ee682755f7831840d50 https://api.semanticscholar.org/ffdafc3c6e39d24127d66ec7eccabd9e56fe8dc3 https://api.semanticscholar.org/313e649ded1a7b98caf5a019f773254121216170