Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks

• Published in: IEEE access Vol. 13; pp. 92873 - 92881
• Main Authors: Ghasemi, Omid Abachian, Chehel Amirani, Mehdi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomous aerial vehicles; Bandwidths; Channel allocation; Data collection; Energy consumption; Energy harvesting; Frequency division multiaccess; Frequency division multiple access; Kuhn-Tucker method; Lower bounds; Optimization; Placement; Resource allocation; Resource management; Scheduling; Sensors; Throughput; Time Division Multiple Access; uncrewed aerial vehicle (UAV); Wireless communication; Wireless networks; wireless powered sensor network; Wireless sensor networks

This paper investigates uncrewed aerial vehicle (UAV)-assisted wireless powered sensor networks (WPSNs). In this system, sensors harvest energy radiated from a UAV and use this energy to transmit collected data back to the UAV via frequency division multiple access (FDMA). The objective is to maximi...