Title: An improved RSSI localisation algorithm in coal tunnel based on beacon nodes

Authors: Gang-Zhu Qiao; Jin-Song Qi; Chun-Fu Hu; Jian-Chao Zeng

Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China ' CNGC North Automatic Control Technology Institute, Taiyuan, Shanxi, 030006, China ' 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

Abstract: Since the coal mine tunnels are always very long and narrow, multipath effects of radio signal in tunnels are produced and low positioning accuracy of Received Signal Strength Indicator (RSSI) location algorithm is achieved. According to the research on the special environment of coal mine and combining the arrangement of beacon nodes in mine tunnels, an improved RSSI localisation algorithm based on beacon nodes is proposed in this paper. The method of beacon nodes' ID number, coordinate information and hop counts broadcasting to network in DV-HOP was introduced in this algorithm, to exclude the effects of disturbed RSSI values on personnel location. And the hop counts and coordinate information were used to correct location error. As a result, the noise immunity and location accuracy of RSSI were improved. The simulation shows that the effect of proposed method is more precise than RSSI under the same environment and can meet the requirements of underground person position.

Keywords: wireless sensor networks; WSNs; underground mines; coal mining; DV-HOP; RSSI localisation; wireless networks; mine tunnels; radio signals; received signal strength indicator; beacon nodes; personnel location; miners; hop count; coordinate information; simulation.

DOI: 10.1504/IJWMC.2014.062035

International Journal of Wireless and Mobile Computing, 2014 Vol.7 No.3, pp.270 - 274

Received: 28 May 2013
Accepted: 12 Jan 2014
Published online: 31 Oct 2014 *

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