ENERGENT: An energy-efficient UAV-assisted fog-IoT framework for disaster management

In this paper, we propose ENergy-efficient disastER manaGmENT (ENERGENT) as a novel framework for disaster management in the unmanned aerial vehicle (UAV)-assisted Fog-Internet of things (IoT) networks. ENERGENT optimizes the energy consumption of the terminal nodes (TNs), as well as the UAVs, using three proposed algorithms. The first algorithm optimally adjusts the 3D placement of the UAVs such that these nodes consume the minimum energy to reach the desired cluster of the TNs. Besides, the transmit power and the transmission rate of the TNs are set in a way that their energy consumption is minimized and the outage probability requirements are met in the network. In the second algorithm, we propose an optimal task offloading scheme where tasks are offloaded to the UAVs in order to meet the network delay constraints. Finally, the third algorithm takes advantage of wireless power transfer to transfer energy to the TNs when their remaining energy degrades a predefined threshold. This scheme guarantees a minimum throughput for all TNs within a cluster by which the total network throughput is maximized. Simulation results reveal that ENERGENT outperforms the existing methods in terms of optimized network energy consumption, delay, and throughput.