Energy Efficiency Optimization of UAV-Assisted Wireless Powered Systems for Dependable Data Collections in Internet of Things

被引:7
|
作者
Ma, Xiaohan [1 ]
Na, Zhenyu [1 ,2 ]
Lin, Bin [1 ]
Liu, Lizhe [2 ]
机构
[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China
[2] Sci & Technol Commun Networks Lab, Shijiazhuang 050081, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy efficiency; Internet of Things (IoT); route planning; subtimeslot allocation; unmanned aerial vehicle (UAV); RESOURCE-ALLOCATION; TRAJECTORY DESIGN; COMMUNICATION; NETWORKS;
D O I
10.1109/TR.2022.3190371
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Benefiting from high mobility, unmanned aerial vehicles (UAVs) can reconstruct wireless connections for affected areas. Most of the existing work has usually ignored the influence of limited airborne energy on the dependability of UAV data transmission. Accordingly, this article proposes an UAV-assisted wireless powered system to achieve dependable data collections in Internet of Things (IoT). Specifically, an UAV leverages energy beamforming to transfer energy to ground users (GUs) in downlink subtimeslot, while the GUs transmit data to the UAV with the harvested energy in uplink subtimeslot. For this system, a joint optimization problem of subtimeslot allocation and UAV route planning is investigated to maximize the system energy efficiency subject to UAV dynamics, time slot duration, and GUs' rate threshold. To tackle the non-convexity of the formulated problem, a low-complexity alternating iterative algorithm is proposed. The first subproblem optimizes subtimeslot allocation by using the bisection method and Lagrange multiplier method for the fixed UAV route, while the second optimizes the UAV route for the periodic and single flight modes with the given subtimeslot allocation. Then, the two subproblems are alternatively solved until convergence. The simulation results demonstrate that the proposed algorithm can not only optimize the UAV route, but also achieve a good compromise between system throughput and UAV propulsion energy consumption.
引用
收藏
页码:472 / 482
页数:11
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