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

Authors: Haibo Liu; Yujie Dong; Fuzhong Wang

Addresses: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China ' College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China ' School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China

Abstract: 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.

Keywords: wireless sensor networks; WSNs; least square algorithm; quantum-behaved particle swarm optimisation; localisation; received signal strength indicator; RSSI.

DOI: 10.1504/IJSN.2020.106834

International Journal of Security and Networks, 2020 Vol.15 No.2, pp.85 - 92

Received: 23 Sep 2019
Accepted: 01 Oct 2019

Published online: 17 Apr 2020 *

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