Title: An anchor node selection mechanism-based node localisation for mines using wireless sensor networks

Authors: Kangshun Li; Hui Wang; Ying Huang

Addresses: School of Mathematics and Informatics, South China Agricultural University, Guangzhou, China ' College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China; School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China ' Key Laboratory of Jiangxi Province for Numerical Simulation and Emulation Techniques, Institute of Mathematical and Computer Sciences, Gannan Normal University, Jiangxi Province, 341000 Ganzhou, China

Abstract: To improve the low localisation accuracy problem facing wireless sensor network (WSN) nodes in mines, a localisation algorithm is proposed to improve the localisation accuracy of received signal strength indication (RSSI) using an anchor node selection mechanism. This localisation mainly includes three phases: first, the anchor node RSSI values received from an unknown node are sorted from high to low; second, the four anchor nodes with the highest RSSI values are selected by a Gaussian elimination method. These nodes are not in the same plane and form a prismatic shape, and the distance from any one node to a plane consisting of another three points is not less than a certain threshold value; finally, the square method is used to estimate the coordinates of the unknown nodes to realise the precise localisation of the unknown nodes. The simulation results show that the proposed algorithm has greatly improved the localisation accuracy compared with other traditional localisation algorithms.

Keywords: underground tunnels; received signal strength indication; RSSI; anchor node selection; least square method; Gaussian elimination method.

DOI: 10.1504/IJCSE.2020.105208

International Journal of Computational Science and Engineering, 2020 Vol.21 No.1, pp.10 - 18

Received: 17 May 2017
Accepted: 29 Oct 2017

Published online: 18 Feb 2020 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article