of traffic, e.g. activity factor of each traffic type.

-   Provide an analytical model of battery lifetime for IoT devices in terms of device’s parameters, e.g. battery capacity, and network parameters, e.g. reliability of communications.

-   Analyze the tradeoffs among network cost, battery lifetime, and reliability of communications. Present the operation regions in which tuning a communication parameter, e.g. number of replica transmissions, increases both reliability and battery lifetime, offers a tradeoff between them, and decreases both of them.

-   Propose a reliability-constrained lifetime-optimized operation control policy for IoT devices.

-   Analyze scalability of the network. Figuring out the bounds up to which, scaling network’s and devices’ resources can compensate the increase in traffic volume and QoS demand.

The remainder of paper has been organized as follows. System model and problem description are presented in the next section. Modeling of KPIs is presented in section III. Section IV presents the optimized operation control strategies. Simulation results are presented in section V. Concluding remarks are given in section VI.

System Model and Problem Description
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System Model {#sys}
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A set of IoT devices, denoted by $\Phi$, have been distributed according to different spatial PCPs in a wide service area. $\Phi$ 