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Journal of Electrical and Computer Engineering
Volume 2015 (2015), Article ID 918962, 8 pages
Research Article

Improved RSSI Positioning Algorithm for Coal Mine Underground Locomotive

1School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, Anhui 232001, China
2School of Computer and Information, Hefei University of Technology, Hefei 230009, China

Received 8 December 2014; Accepted 23 January 2015

Academic Editor: Peter Jung

Copyright © 2015 Bin Ge et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Aiming at the large positioning errors of traditional coal mine underground locomotive, an improved received signal strength indication (RSSI) positioning algorithm for coal mine underground locomotive was proposed. The RSSI value fluctuates heavily due to the poor environment of coal mine underground. The nodes with larger RSSI value corrected by Gaussian-weighted model were selected as beacon nodes. In order to reduce the positioning error further, the estimated positions of the locomotives were corrected by the weighted distance correction method. The difference between actual position and estimated position of beacon node was regarded as the positioning error and was given a corresponding weight. The results of simulation show that the positioning accuracy of Gaussian-weighted model is better than statistical average model and Gaussian model and it has a high positioning accuracy after correcting positioning error correction. In the 10 m of communication range, positioning error can be maintained at 0.5 m.