Spatiotemporal Precise Routing Strategy for Multi-UAV-Based Power Line Inspection With Integrated Satellite-Terrestrial Network
Keren He, Quan Zhou, Zhijie Lian, Yang Shen, Jiachen Gao, Zhikang Shuai
Abstract
Disruptions in ground communications during disasters significantly impede unmanned aerial vehicle (UAV)-based power line inspections, slowing down fault localization and threatening system secure operation. This paper proposes a spatiotemporal precise routing strategy for the integrated satellite-terrestrial network, focusing on achieving stable communication and balanced energy consumption among the UAV swarm under signal fluctuations. Here, satellite internet and flying ad-hoc network (FANET) are fully utilized concurrently, which is tailored to practical demand of post-disaster power line inspections and overcomes communication collapse. The proposed strategy features superior flexibility and resilience in various complex and hostile environments. The simulation results demonstrate that the proposed strategy outperforms traditional routing algorithms, supporting stable signal transmission for multi-UAV-based power line inspections, extending cluster operational time, and enhancing the speed of post-disaster power system recovery.