Reinforcement Learning-Enabled Resampling Particle Swarm Optimization for Sensor Relocation in Reconfigurable WSNs

Aiming to maximize coverage performance and reduce the number of sensors deployed in the reconfigurable wireless sensor networks (RWSNs), in this paper, we first formulate a new cooperative sensing coverage control problem based on the confident information coverage model. Then, inspired by the rein...

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Veröffentlicht in:	IEEE sensors journal 2022-04, Vol.22 (8), p.8257-8267
Hauptverfasser:	Wang, Minghua, Wang, Xingbin, Jiang, Kaiwu, Fan, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cooperative control Learning automata Machine learning Optimization Particle swarm optimization Reconfigurable wireless sensor networks Reconfiguration Redundancy Relocation Resampling resampling particle swarm optimization Search problems Sensor phenomena and characterization sensor relocation Sensors Wireless sensor networks
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