期刊
IEEE COMMUNICATIONS LETTERS
卷 22, 期 6, 页码 1264-1267出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2822700
关键词
Unmanned aerial vehicle; wireless sensor nodes; SNs-UAV scheduling; trajectory optimization; Internet of Thing
资金
- National High Technology Project of China [2015AA01A703]
- Scientific and Technological Key Project of Henan Province [182102210449]
- National Natural Science Foundation of China [61372101, 61671144]
This letter investigates a power-efficient unmanned aerial vehicle (UAV)-based wireless sensor network, where the UAV is used as a flying base station to communicate with the sensor nodes (SNs) with flexible movement path. We aim at minimizing the total power consumption of the UAV with a guarantee of the required transmission rate of SNs by jointly optimizing the SNs-UAV scheduling scheme, power allocation strategy, and flight trajectory of the UAV. Due to the nonconvex and mixed-integer nature of the original problem, block coordinate decent and successive convex optimization techniques are employed to decompose it into two sub-problems, which leads to an efficient iterative algorithm. Numerical results show the performance gain of our proposed scheme.
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