@inproceedings{b9453e76c02b4dcbb5aa88695e821cca,
title = "Solving Source Location Problems with Particle Swarm Optimizer and Height Information",
abstract = "Recently, there has been great interest in utilizing robot swarm to solve source location problems. A particle swarm optimizer (PSO) is among the most popular method. To our best knowledge, almost all work in this field focuses on a 2-D search space while ignoring height information. This work proposes a 3-D source location model where the sensing range of an unmanned aerial vehicle (UAV) gradually increases with its flying height, but its obtained signal strength gradually weakens. It can avoid meaningless wandering of UAV s in no-signal areas. Experimental results show that the effective use of height information can significantly improve the search efficiency.",
keywords = "Swarm robots, par-ticle swarm optimizer(PSO), source location problem",
author = "Junqi Zhang and Yehao Lu and Mengchu Zhou",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022 ; Conference date: 10-07-2022 Through 13-07-2022",
year = "2022",
doi = "10.1109/ICDCSW56584.2022.00029",
language = "English (US)",
series = "Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "105--108",
booktitle = "Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022",
address = "United States",
}