Solving Source Location Problems with Particle Swarm Optimizer and Height Information
Document Type
Conference Proceeding
Publication Date
1-1-2022
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.
Identifier
85143828073 (Scopus)
ISBN
[9781665488792]
Publication Title
Proceedings 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops Icdcsw 2022
External Full Text Location
https://doi.org/10.1109/ICDCSW56584.2022.00029
First Page
105
Last Page
108
Grant
20511100500
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhang, Junqi; Lu, Yehao; and Zhou, Mengchu, "Solving Source Location Problems with Particle Swarm Optimizer and Height Information" (2022). Faculty Publications. 3291.
https://digitalcommons.njit.edu/fac_pubs/3291
