Wireless sensor localization based on distance optimization and assistance by mobile anchor nodes: a novel algorithm

• Published in: PeerJ. Computer science Vol. 10; p. e2179
• Main Author: Yang, Hui
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 31.07.2024; PeerJ Inc
• Subjects: Algorithms; Algorithms and Analysis of Algorithms; Differential evolution algorithm; Environmental monitoring; Localization algorithms; Mobile and Ubiquitous Computing; Optimization Theory and Computation; Positioning accuracy; Sensors; Target tracking; Wireless sensor networks; Localization algorithms; Wireless sensor networks; Target tracking; Positioning accuracy; Differential evolution algorithm
• ISSN: 2376-5992; 2376-5992
• DOI: 10.7717/peerj-cs.2179

Wireless sensor networks (WSNs) have wide applications in healthcare, environmental monitoring, and target tracking, relying on sensor nodes that are joined cooperatively. The research investigates localization algorithms for both target and node in WSNs to enhance accuracy. An innovative localization algorithm characterized as an asynchronous time-of-arrival (TOA) target is proposed by implementing a differential evolution algorithm. Unlike available approaches, the proposed algorithm employs the least squares criterion to represent signal-sending time as a function of the target position. The target node's coordinates are estimated by utilizing a differential evolution algorithm with reverse learning and adaptive redirection. A hybrid received signal strength (RSS)-TOA target localization algorithm is introduced, addressing the challenge of unknown transmission parameters. This algorithm simultaneously estimates transmitted power, path loss index, and target position by employing the RSS and TOA measurements. These proposed algorithms improve the accuracy and efficiency of wireless sensor localization, boosting performance in various WSN applications.