Abstract
This paper investigates a new UAV-assisted Wireless Rechargeable Sensor Network (WRSNs) based on wireless powered technologies, where the Unmanned Aerial Vehicle (UAV) can not only be used as wireless aerial mobile base station for gathering data from sensors but also be used as mobile charger to replenish energy for sensors, and it also can be charged energy by Laser Beam Directors (LBDs) to overcome the limitation of on-board energy shortage. In such a network, we study the average Age of Information Optimization (AoIO) problem whose objective is to minimize the average AoI of data collected from sensors by UAV. We first prove that the AoIO problem is NP-hard. Since the average AoI depends on UAV’s flight trajectory, the hovering time required for data collection, energy power transfer and laser charging, we propose an approximation algorithm to solve the AoIO problem by jointly optimizing these factors. Afterwards, we conduct extensive simulation experiments to validate effectiveness of the proposed algorithm.
This work was supported in part by the Fundamental Research Funds for the Central Universities under grants (2021ZY88), also supported by the National Natural Science Foundation of China under Grant (62002022, 32071775).
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Luo, C., Hou, Y., Hong, Y., Chen, Z., Liu, N., Li, D. (2022). AoI Minimizing of Wireless Rechargeable Sensor Network Based on Trajectory Optimization of Laser-Charged UAV. In: Ni, Q., Wu, W. (eds) Algorithmic Aspects in Information and Management. AAIM 2022. Lecture Notes in Computer Science, vol 13513. Springer, Cham. https://doi.org/10.1007/978-3-031-16081-3_22
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DOI: https://doi.org/10.1007/978-3-031-16081-3_22
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