@article{ref1,
title="A deep mine WSN localization algorithm based on both particle swarm optimization and tunnel partition",
journal="China safety science journal (CSSJ)",
year="2019",
author="Yu, X. and Xie, X. and Liang, B. and Yu, Y. and Zhang, K. and Zhou, L.",
volume="29",
number="2",
pages="166-171",
abstract="In view of insufficient positioning accuracy of personnel in existing deep mines, a localization algorithm of WSN in deep mine based on PSO and tunnel partition(PTWL) was worked out. The region between adjacent anchor nodes in a straight tunnel was divided into equal parts, and the divided area was marked by signal strength grade. The approximate area was determined by the signal strength received by unknown nodes in the tunnel, and the maximum probability coordinates of unknow nodes were calculated by PSO algorithm to achieve accurate position. A comparison was made between PTWL algorithm, RSSI algorithm and RSSP algorithm through simulation experiments. The results show the PTWL algorithm has higher positioning accuracy than the classical RSSI and RSSP algorithms. © 2019 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2019.02.027",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2019.02.027"
}