Rechargeable Multi-UAV Aided Seamless Coverage for QoS-Guaranteed IoT Networks

被引:61
作者
Li, Xiaowei [1 ]
Yao, Haipeng [2 ]
Wang, Jingjing [3 ]
Wu, Sheng [4 ]
Jiang, Chunxiao [5 ]
Qian, Yi [6 ]
机构
[1] Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[4] Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Universal Wireless Commun, Beijing 100876, Peoples R China
[5] Tsinghua Univ, Tsinghua Space Ctr, Beijing 100084, Peoples R China
[6] Univ Nebraska, Dept Comp & Elect Engn, Lincoln, NE 68588 USA
关键词
Charging scheme; convex optimization; cooperative strategy; Internet of Things (IoT); unmanned aerial vehicle (UAV); VEHICLE BASE STATION; THROUGHPUT MAXIMIZATION; 3-D PLACEMENT; COMMUNICATION; INTERNET; ALTITUDE; OPTIMIZATION; DESIGN; SYSTEM;
D O I
10.1109/JIOT.2019.2943147
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to their high flexibility, high maneuverability, and line-of-sight (LOS) predominant channel, unmanned aerial vehicles (UAVs) serving as flying base stations have received a lot of interest in emerging Internet of Things (IoT) networks. This article studies the energy-efficient cooperative strategy of rechargeable multi-UAVs for providing seamless coverage and long-term information services for IoT nodes. Considering the limited cruising duration of the UAV, multiple rechargeable UAVs are capable of constructing a closed chain for the sake of alternately supporting IoT nodes. Moreover, a joint IoT node assignment and UAV configuration optimization problem is proposed in order to maximize the energy efficiency of the system. Since the proposed problem is a mixed-integer nonconvex problem, we divide it into three subproblems, namely, node assignment scheduling, UAV trajectory planning, and transmit power control. By exploiting sequential convex optimization techniques, we reformulate the nonconvex subproblems into three convex optimization problems which can be solved within the polynomial time. A block coordinate descent-based iterative algorithm is proposed for solving these energy-efficiency oriented subproblems. Finally, the simulation results corroborate the effectiveness of our proposed method.
引用
收藏
页码:10902 / 10914
页数:13
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