ENERGENT: An energy-efficient UAV-assisted fog-IoT framework for disaster management
Open Access
- 1 December 2022
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Journal of Communications and Networks
- Vol. 24 (6), 698-709
- https://doi.org/10.23919/jcn.2022.000050
Abstract
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.Keywords
This publication has 32 references indexed in Scilit:
- Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless NetworksIEEE Transactions on Wireless Communications, 2018
- Resource Allocation for Energy Harvesting-Powered D2D Communication Underlaying UAV-Assisted NetworksIEEE Transactions on Green Communications and Networking, 2017
- AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based NetworksIEEE Transactions on Vehicular Technology, 2017
- Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things CommunicationsIEEE Transactions on Wireless Communications, 2017
- A Comprehensive Analysis of 5G Heterogeneous Cellular Systems Operating Over $\kappa$ – $\mu$ Shadowed Fading ChannelsIEEE Transactions on Wireless Communications, 2017
- Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path PlanningIEEE Transactions on Vehicular Technology, 2017
- Energy-Efficient UAV Communication With Trajectory OptimizationIEEE Transactions on Wireless Communications, 2017
- UAV Recharging Opportunities and Policies for Sensor NetworksInternational Journal of Distributed Sensor Networks, 2015
- Rate-Constrained Wireless Networks With Fading Channels: Interference-Limited and Noise-Limited RegimesIEEE Transactions on Information Theory, 2011
- Semidefinite Relaxation of Quadratic Optimization ProblemsIEEE Signal Processing Magazine, 2010