Positioning Algorithm of Underground Personnel Based on ZigBee Technology

Wei Jiang; Feng Yang

doi:10.4028/www.scientific.net/AMM.532.121

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 532Positioning Algorithm of Underground Personnel...

Positioning Algorithm of Underground Personnel Based on ZigBee Technology

Abstract:

In recent years, people pay more and more attention to coal production safety. In order to enhance the security of underground work, optimize the coal mine management, and improve the personnel location accuracy, a newly arisen technique based on ZigBee with the low power, low cost and low complexity, which is suitable for being used to implement personnel position in underground coal mine, is built after comparing with several kinds of major wireless technology. In this paper, we present a new algorithm of underground personnel position based on this new technology. The algorithm uses Gaussian filtering algorithm and Bayesian statistics theory. The algorithm has been tested and the result has been analyzed. The experimental results show that the proposed algorithm provides more accurate position than positioning algorithm using RSSI.

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Periodical:

Applied Mechanics and Materials (Volume 532)

Pages:

121-125

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.532.121

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Online since:

February 2014

Authors:

Wei Jiang*, Feng Yang

Keywords:

Bayesian Filtering Algorithm, Gaussian Filtering Algorithm, Personnel Location, ZigBee Technology

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* - Corresponding Author

References

[1] C.M. Cordeiro, S. Abhyankar, D.P. Agrawal: Ad Hoc Networks. Vol. 3 (2005) 119-140.

Google Scholar

[2] P. Bahl, R. Chandra, T. Moscibroda, R. Murty, M. Welsh, SIGCOMM Comput. Commun. Rev. Vol. 39 (2009) 27-38.

DOI: 10.1145/1594977.1592573

Google Scholar

[3] N. Ghazisaidi, H. Kassaei, M.S. Bohlooli: IEEE Second International Conference on Advances in Mesh Networks. (2009) 1-6.

DOI: 10.1109/mesh.2009.8

Google Scholar

[4] Niculescu D, Nath B: Proceedings of IEEENFOCOM [C], IEEE, Piscataway, USA, (2003).

Google Scholar

[5] Nattapong Swangmuang, Prashant Krishnamurthy, Pervasive and Mobile Computing. Vol. 4 (2008) 863-850.

Google Scholar

[6] Tseng Pohsuan, Feng Kaiten, Liu Yuchiun, Chen Chaolin: IEEE Transactions on mobile com-putting. Vol. 8 (2009) 1676-1689.

Google Scholar

[7] Merhi Z., Elgamel M., Bayoumi M.: IEEE Transactions on Mobile Computing. vol. 8 (2009) 1690-1704.

Google Scholar

[8] Cirronet, Inc.: ZigBee™ Wireless Transceiver Engineering Options (2005).

Google Scholar

[9] William L, Lee W McKnight: Telecommunications Policy (2003).

Google Scholar

[10] Soo YS, Hong SP, Wook HK., Computer and Telecommunications Networking. 51 (2007) 3338–3353.

Google Scholar

[11] Howitt, I, Gutierrez, JA., Wireless Communications and Networking. 3 (2003) 1481- 1486.

Google Scholar

[12] Shahin F., ZigBee Wireless Networks and Transceivers. Newnes, New York, (2008).

Google Scholar