Mobile wireless sensor network localisation algorithm for coal mine Online publication date: Tue, 08-Mar-2016
by Gang-Zhu Qiao; Jian-Chao Zeng; Ming Zhao
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 10, No. 1, 2016
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.
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