Authors: Gang-Zhu Qiao; Jian-Chao Zeng; Ming Zhao
Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China ' Gansu Radio & TV University, Lanzhou, Gansu 730030, China
Abstract: According to mobile node self-localisation problems of underground coal mine WSN, through analysing the moving process of the mobile node, it has been found that it is affected by deployment characteristics of the beacon node, during the moving process, the centroid of one hop adjacent beacon node of mobile node, which can be perceived by mobile node, always keeps the same moving trend with the mobile node, and its position is also closer to the position of the mobile node. So if the mobile node localisation algorithm takes a sample at a position near the centroid, the success rate of sampling will greatly improve. On this basis, a Monte Carlo Centroid-Box (MCCB) localisation algorithm is proposed. Simulation results show that the MCCB algorithm is more suitable for mobile node localisation within the strip area than either the Monte Carlo Localisation (MCL) algorithm or the Monte Carlo Localisation Boxed (MCB) algorithm.
Keywords: wireless sensor networks; WSNs; mobile localisation; centroid; Monte Carlo method; coal mines; mining industry; simulation; mobile node localisation; mobile nodes.
International Journal of Wireless and Mobile Computing, 2016 Vol.10 No.1, pp.68 - 75
Received: 25 May 2015
Accepted: 25 Jun 2015
Published online: 08 Mar 2016 *