|Table of Contents|

A Fast Node Localization Algorithm for Coal-mine UndergroundBased on RSSI(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年04期
Page:
158-
Research Field:
计算机科学
Publishing date:

Info

Title:
A Fast Node Localization Algorithm for Coal-mine UndergroundBased on RSSI
Author(s):
Xu Xiaoju; Tang Xiang; Huang Weiyong
School of Information and Electrical Engineering,Xuzhou Institute of Technology,Xuzhou 221111,China
Keywords:
wireless sensor networks(WSN); coal-mine underground node localization; received signal strength indicator(RSSI); Gauss filter; quantum-behaved particle swarm optimization(QPSO)
PACS:
TP393
DOI:
-
Abstract:
To improve the realtime performance of node localizationin in coal-mine underground wireless sensor networks,a fast node localization algorithm based on RSSI is proposed.On the base of the double-chain deployment structure of anchor nodes in coal-mine underground,the largest RSSI signals received from the anchor nodes are processed by the filter with Gauss density function,and the coordinates of the unknown nodes are calculated directly by the filtered RSSI signals and exponential factors.The exponential factors are optimized by an improved quantum-behaved particle swarm optimization algorithm and the criterion of the root mean square error minimum.The algorithm proposed has the advantage of fast positioning speed and low computational complexity and the simulation results verify the feasibility and effectiveness of the algorithm,which can be suitable for real time positioning system in coal mine underground wireless sensor networks.

References:

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Last Update: 2014-12-31