Energy-Saving Deployment Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks With NOMA

• Published in: IEEE transactions on vehicular technology Vol. 71; no. 6; pp. 6609 - 6623
• Main Authors: Zhai, Daosen, Wang, Chen, Zhang, Ruonan, Cao, Haotong, Yu, Fei Richard
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomous aerial vehicles; Computer simulation; Interference; Iterative algorithms; Iterative methods; NOMA; non-orthogonal multiple access; Optimization; Power consumption; Power control; Power management; Resource management; sensor networks; Sensors; unmanned aerial vehicle; Unmanned aerial vehicles; Wireless networks; Wireless sensor networks
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2022.3159681

Energy-saving techniques are vital for the battery-powered sensor devices (SDs), which affect their lifetime. In this paper, we propose an air-and-ground cooperative wireless sensor network (AGWSN), wherein several UAVs are deployed as aerial access points (AAPs) to assist the terrestrial access poi...