Energy-efficient data collection for UAV-assisted IoT: Joint trajectory and resource optimization

作     者：Xiao TANG Wei WANG Hongliang HE Ruonan ZHANG Xiao TANG;Wei WANG;Hongliang HE;Ruonan ZHANG

作者机构：School of Electronics and InformationNorthwestern Polytechinical UniversityXi'an 710072China National Mobile Communications Research LaboratorySoutheast UniversityNanjing 210096China College of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China College of Information Science and TechnologyCollege of Cyber SecurityJinan UniversityGuangzhou 510632China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2022年第35卷第9期

页      面：95-105页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 13[艺术学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 1305[艺术学-设计学（可授艺术学、工学学位）] 0810[工学-信息与通信工程] 081104[工学-模式识别与智能系统] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：co-supported by the National Key Research and Development Program of China under Grant 2020YFB1807003 National Natural Science Foundation of China(Nos.61901378,61941119) China Postdoctoral Science Foundation(Nos.BX20190287,2020M683563) Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2022D01) 

主　　题：Block coordinate descent Data collection Dinkelbach method Energy efficiency Internet of Things(IoT) Unmanned aerial vehicle 

摘      要：Internet of Things(IoT) can be conveniently deployed while empowering various applications, where the IoT nodes can form clusters to finish certain missions collectively. As energyefficient operations are critical to prolong the lifetime of the energy-constrained IoT devices, the Unmanned Aerial Vehicle(UAV) can be dispatched to geographically approach the IoT clusters towards energy-efficient IoT transmissions. This paper intends to maximize the system energy efficiency by considering both the IoT transmission energy and UAV propulsion energy, where the UAV trajectory and IoT communication resources are jointly optimized. By applying largesystem analysis and Dinkelbach method, the original fractional optimization is approximated and reformulated in the form of subtraction, and further a block coordinate descent framework is employed to update the UAV trajectory and IoT communication resources iteratively. Extensive simulation results are provided to corroborate the effectiveness of the proposed method.