Abstract
AbstractThe pigeon-inspired optimization (PIO) algorithm belongs to a novel type of meta-heuristic algorithm, which has manifested in many aspects. Wireless sensor networks (WSNs) are a type of information acquisition technology and have been widely used as a new platform for information acquisition and processing. Due to the limited environment and hardware conditions for dealing with a large number of data sets to be processed, this paper uses the PIO algorithm to optimize the positioning method of time difference of arrival (TDOA) which a positioning method in the WSNs. Experimental results show that PIO can improve TDOA higher positioning accuracy and better convergence.KeywordsMeta-heuristic algorithmPigeon-inspired optimizationTime difference of arrivalWSNs
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