Performance analysis using IoT based underground miner’s tracking and wireless voice communication system

Jump To References Section

Authors

  • Shankhajit Mitra
     ,IN
  • Dheeraj Kumar
     ,IN
  • S.K. Chaulya
     ,IN
  • Chiranjeev Kumar
     ,IN

DOI:

https://doi.org/10.18311/jmmf/2022/30431

Keywords:

Packet delivery ratio, radio frequency identification, sensors

Abstract

This paper addresses an integrated wireless-fidelity (Wi-Fi) and radio frequency identification (RFID) based wireless system which has been developed for tracking of miners, wireless communication between miners and officials on surface. The system provides a walk through model in mine display and can predict mine-hazards. The system has been developed for providing emergency response using Internet of Things (IoT) enabled devices for tracking of trapped miners in a particular underground mine located using monitoring system and thereby sends real-time location to the concerned management and rescue team. The network performance has been analysed to assess the maximum operating distance, packet delivery ratio (PDR) and data communication capabilities. PDR was 6-7% more in normal surface conditions than mine environment for same transmission distance. This network analysis shows that with increase in distance between miner and the end device, the PDR decreases. Also increases in the number of hops in between end device and mine coordinator reduces the PDR.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-06-10

How to Cite

Mitra, S., Kumar, D., Chaulya, S., & Kumar, C. (2022). Performance analysis using IoT based underground miner’s tracking and wireless voice communication system. Journal of Mines, Metals and Fuels, 70(2), 75–82. https://doi.org/10.18311/jmmf/2022/30431

Issue

Volume 70, Issue 2, February 2022

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC
Received 2022-06-10
Accepted 2022-06-10
Published 2022-06-10

 

References

Yarkan, S., Guzelgoz, S., Arslan, H. and Murphy, R. R. (2009): Underground mine communications: a survey. IEEE Communications Surveys & Tutorials, 11(3), 125- 142.

Basic Tutorial on Wireless Communication and Electronic Tracking: Technology Overview.https://www.cdc.gov/ niosh/mining/content/emergency management and response/commtracking/commtrackingtutorial1.html

Ranjan, A. and Sahu, H.B. (2014): Communications challenges in underground mines. Search and Research, 2, 23–29.

Kravitz, J., Kovac, J. and Duerr, W. (1994): Advances in mine emergency communications. Proc. International Emergency Management and Engineering Conference. Florida. U.S.A., pp. 23–26.

Ryerson University (2010): Innovative technology for wireless underground communication. Technology: engineering. https://phys.org/news/2010-11-technologywireless- underground.html

Patri, A. and Nimaje, D. S. (2015): Radio frequency propagation model and fading of wireless signal at 2.4 GHz in an underground coal mine. Journal of the Southern African Institute of Mining and Metallurgy, 115(7), 629–636.

Schiffbauer, W. H. and Brune, J. F. (2006): Underground coal mine Yadav, D. K., Mishra, P., & Das, S. K. (2015): Study of real-time miner tracking using wireless sensor area network. In International Conference on microwave, optical and Communication Engineering, IEEE. 330–333.

Wang, J., Al-Kinani, A., Zhang, W. and Wang, C. X. (2017): A new VLC channel model for underground mining environments. In 13th International Wireless Communications and Mobile Computing Conference, IEEE. 2134–2139.

Ahmed, N., Rutten, M., Bessell, T., Kanhere, S. S., Gordon, N. and Jha, S. (2010): Detection and tracking using particlefilter- based wireless sensor networks. IEEE Transactions on Mobile Computing, 9(9), 1332–1345.

Priyan, R. V., Dinesh, S., Ilanthendral, J. and Ramya, B. (2014): Communication system for underground mines using Li-Fi 5G technology. International Journal of Latest Technology in Engineering, Management and Applied Science, 14, 80-85.

Ruff, T. M. and Hession-Kunz, D. (2001): Application of radio-frequency identification systems to collision avoidance in metal/nonmetal mines. IEEE Transactions on Industry Applications, 37(1), 112–116.

Yinghua, Z., Guanghua, F., Zhigang, Z., Zhian, H., Hongchen, L. and Jixing, Y. (2012): Discussion on application of IOT technology in coal mine safety supervision. Procedia Engineering, 43, 233–237.

Malliss, J., Vaibhav, P., Yadav, V. and Patnaik. (2018): Real time communication (RTC) device using Raspberry Pi. International Journal of Scientific & Engineering Research, 9(2), 2229–5518

Vyavahare, V. A. (2016): Live audio and video transmission system using Raspberry Pi. International Journal of Innovative Research in Computer and Communication Engineering, 4(6), 2320–9798.

Dash, R. L. and Bevi, A. R. (2014): Real-time Transmission of Voice over 802.11 Wireless networks using Raspberry Pi. International Journal of Engineering Development and Research, 2(1), 2321–9939.

Senthilkumar, S., Lakshmirekha, R., Ramachandran, L. and Dhivya, S. (2016). Design and implementation of secured wireless communication using Raspberry Pi. International Research Journal of Engineering and Technology, 3(1), 2395–0072.

Paul, B. (2016). A novel design and implementation of a real-time wireless video and audio transmission device. WSEAS Transactions on Computer Research, 4, 161-172.

Bandyopadhyay, L. K., Chaulya, S. K., Mishra, P. K., Choure, A. and Baveja, B. M. (2008): Wireless information and safety system for mines. Journal of Scientific & Industrial Research, 68: 107–117.

Chaulya, S. K. and Prasad, G. M. (2016): Sensing and monitoring technologies for mines and hazardous areas. Elsevier, USA, 403 pp

Bandyopadhyay, L. K., Chaulya, S. K. and Mishra, P. K. (2009): Wireless communication in underground mines: RFID-based sensor networking. Springer, USA, 477 pp.