Accurate ZigBee Wireless Sensor Indoor Localization System Based on PSO Algorithm

ZHENG Ming; LIU Ming-Xin; LI Bei-Ming; XUE Wei

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Accurate ZigBee Wireless Sensor Indoor Localization System Based on PSO Algorithm

ZHENG Ming,LIU Ming-Xin,LI Bei-Ming,XUE Wei *

College of Information and Communication Engineering, Harbin Engineering University

*Correspondence author

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Funding: Fundamental Research Funds for the Central Universities （No.HEUCFG201829）, Science Foundation of Heilongjiang Province （No.QC2015075）, China Postdoctoral Science Foundation （No.2018M631911）, Heilongjiang Postdoctoral Fund （No.LBH-Z18055）

Opened online:12 September 2019

Accepted by: none

Citation: ZHENG Ming,LIU Ming-Xin,LI Bei-Ming.Accurate ZigBee Wireless Sensor Indoor Localization System Based on PSO Algorithm[OL]. [12 September 2019] http://en.paper.edu.cn/en_releasepaper/content/4749584

This paper targets to estimate the distance between the blind node whose position is ambiguous in wireless sensor network and the anchor node whose position is known.And then,estimate location of the blind node according to the geometric relationship among nodes in indoor environments. an approach was used to estimate such a distance. The channel propagation model in indoor environments accord with log-normal shadowing model(LNSM),approach used PSO(Particle Swarm Optimization)) algorithm to improve LNSM model and estimates the distance according to improved LNSM and received signal strength indicator(RSSI).Then constructed a equation Based on the geometric relationship among nodes,solved the equation used Swarm intelligence algorithm,got best estimate of blind node' position. the approach achieved a mean absolute error less than 0.5m in a 10×10 Square test site.

Keywords:ZigBee WSN; RSSI; PSO algorithm; Indoor localization

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