An improved weighted centroid localisation algorithm for wireless sensor networks in coal mine underground

被引：0
|
作者：
Liu H. [1 ]
Dong Y. [2 ]
Wang F. [1 ]
机构：
[1] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo
[2] College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo
来源：
International Journal of Security and Networks | 2020年 / 15卷 / 02期
关键词：
Least square algorithm; Localisation; Quantum-behaved particle swarm optimisation; Received signal strength indicator; RSSI; Wireless sensor networks; WSNs;
D O I：
10.1504/IJSN.2020.106834
中图分类号：
学科分类号：
摘要：
In view of the practical characteristics of coal mine underground working environment and the low positioning accuracy of existing algorithm, an improved weighted centroid localisation algorithm based on received signal strength indicator (RSSI) is proposed. Firstly, the environmental parameters of RSSI ranging are modified by the least square method to eliminate the influence of various interferences on the measured data. The exponential factor and the modified RSSI value are directly calculated to determine the coordinates of the unknown node. The exponential factor is optimised by an improved quantum particle swarm optimisation algorithm based on the criterion of minimum root mean square error. The simulation results show that the proposed algorithm can reduce the influence of complex environment factors in the positioning process and has the better positioning accuracy than the traditional method, which meets requirements of personnel location precision in underground long-distance roadway. Copyright © 2020 Inderscience Enterprises Ltd.
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页码：85 / 92
页数：7
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