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

ABSTRACT: 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 localizatio

SUBMITTER: Yang H 

PROVIDER: S-EPMC11323089 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature