TY - GEN
T1 - Solving Source Location Problems with Particle Swarm Optimizer and Height Information
AU - Zhang, Junqi
AU - Lu, Yehao
AU - Zhou, Mengchu
N1 - Funding Information:
This work was supported by Innovation Program of Shanghai Municipal Education Commission (202101070007E00098) and Shanghai Industrial Collaborative Science and Technology Innovation Project (2021-cyxt2-kj10). This work was also supported in part by the National Natural Science Foundation of China (51775385, 61703279, 62073244, 61876218) and the Shanghai Innovation Action Plan under grant no. 20511100500.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - par-ticle swarm optimizer(PSO)
KW - source location problem
KW - Swarm robots
UR - http://www.scopus.com/inward/record.url?scp=85143828073&partnerID=8YFLogxK
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U2 - 10.1109/ICDCSW56584.2022.00029
DO - 10.1109/ICDCSW56584.2022.00029
M3 - Conference contribution
AN - SCOPUS:85143828073
T3 - Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
SP - 105
EP - 108
BT - Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
Y2 - 10 July 2022 through 13 July 2022
ER -