Joint Optimization of UAV Trajectory and Sensor Uploading Powers for UAV-assisted Data Collection in Wireless Sensor Networks

Wang, Yinlu, Chen, Ming, Pan, Cunhua, Wang, Kezhi and Pan, Yijin (2021) Joint Optimization of UAV Trajectory and Sensor Uploading Powers for UAV-assisted Data Collection in Wireless Sensor Networks. IEEE Internet of Things Journal. ISSN 2372-2541 (In Press)

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Official URL: https://doi.org/10.1109/JIOT.2021.3126329

Abstract

In this paper, we investigate the energy minimization problem of an unmanned-aerial-vehicle (UAV)-assisted data collection sensor network. We jointly optimize the trajectory of the UAV and the power consumption of the sensors for data uploading with the power and energy constraints of sensors. The trajectory design consists of two parts: the serving orders for sensors and the UAV’s hovering positions, where the latter is highly coupled with the power consumption of the sensors. To find the optimal serving orders of sensors, we formulate the problem as a standard traveling salesman problem (TSP), which can be optimally solved by the efficient Cutting-Plane method. To solve the UAV position and sensor uploading power optimization problem, we propose the PSPSCA algorithm that optimizes the transmit power by the pattern search method, while the UAV’s hovering positions are optimized by the successive-convex-approximation (SCA) method in the inner loop. To deal with the high computational complexity of the PSPSCA algorithm, we analyze the analytical relationship between optimal sensor uploading power and the UAV’s hovering positions, based on which we simplify the optimization problem and propose the AQSCA algorithm as an alternative approach. Simulation results have validated that the proposed algorithm outperforms the existing benchmark schemes.

Item Type: Article
Additional Information: Funding information: This work was supported by the National Natural Science Foundation of China (NSFC) under Grants No. 61871128, 62001107, the Fundamental Research on Foreword Leading Technology of Jiangsu Province under Grant No. BK20192002, and the Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant No. BK20190339
Uncontrolled Keywords: Wireless sensor networks, UAV data collection, UAV trajectory optimization, energy minimization
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 13 Dec 2021 16:05
Last Modified: 13 Dec 2021 16:15
URI: http://nrl.northumbria.ac.uk/id/eprint/47976

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