Total views : 222

Spectrum Management using Cognitive Radio for Safety and Security of Coal Mine Workers


  • VIT University, Vellore - 632014, Tamil Nadu, India
  • Galgotias University, Noida - 201310, Uttar Pradesh, India


Objectives: Underground mine communication is the most vital factor today to monitor different parameters continuously and to take necessary actions accordingly to mitigate all hazards that happen inside mines. Accidents in coal mines occur due to inadequacy of information from the mine environment due to inefficiency of existing phone systems. Methods/ Statistical Analysis: In this paper, cognitive radio technology is used in underground coal mines to wirelessly transmit crucial parameters such as temperature, humidity and methane gas levels to enhance the safety and security of coal mine workers. To depict cognitive radio, two communication channels, Bluetooth and RF have been used. These wireless channels are used to transmit data from the hardware circuit fitted on the miner’s gear to the ground control center. Findings: To test the working of proposed technique it is subjected to several test cases. Experiments have proved feasibility and good stability of the system. Using the proposed technology the network sensor scalability has been improved. Application/ Improvements: The deployment of a module of cognitive radio sensors is made on the miner’s gear to monitor the aforementioned parameters. Various traffic issues like routing algorithm, handoff problems are identified as the extension of the proposed cognitive radio networks.


Cognitive Radio (CR), Coal Mine, Monitoring System, Personal Protective Equipment (PPE), Tracking and Positioning, Wireless Sensor Networks (WSNs).

Full Text:

 |  (PDF views: 215)


  • Serhan Y, Guzelgoz S. Underground Mine Communications: A Survey. IEEE Communications Surveys and Tutorials. 2009 Oct; 11(3):125–42.
  • Gorcin A, Arslan H. Public Safety and Emergency Case Communications: Opportunities from the Aspect of Cognitive Radio. Proceedings of IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Chicago, USA. 2008 Oct 14-17; 1–10.
  • Wei S, Li LL. Multi-parameter Monitoring System for Coal Mine based on Wireless Sensor Network Technology. Proceedings of International Conference on Industrial Mechatronics and Automation, Chengdu, China. 2009 May 15-16. p. 225–27.
  • Kagezi BM, Stephen B. A Position Paper: Cognitive Radio Networking for Multiple Sensor Network Interoperability in Mines. Proceedings of Second International Conference on Wireless Communications in Underground and Confined Areas, Canada. 2008 Aug 25-27. p. 25–7.
  • Krithika N, Seethalakshmi R. Safety Scheme for Mining Industry Using Zigbee Module. Indian Journal of Science and Technology. 2014 Aug; 7(8):1222–27.
  • Martin DJR. Leaky-feeder radio communication: A historical review. Proceedings of 34th IEEE Vehicular Technology Conference, Texas, USA. 1984 May 21-23. p. 25–30.
  • Barkand TD, Damiano NW, Shumaker WA. Through-the-Earth, Two-Way, Mine Emergency, Voice Communication Systems. Proceedings of IEEE Industry Applications Conference, Florida, USA. 2006 Oct 8-12. p. 955–58.
  • Krishnan KV, Sajith RM, Khara S. Dynamic resource allocation in OFDM based cognitive radio system considering primary and secondary users Qos. Radio Electronics and Communications Systems. 2015 Oct; 58(10):444–51.
  • Nandhakumar P, Kumar A. Analysis of OFDM System with Energy Detection Spectrum Sensing. Indian Journal of Science and Technology. 2016 Apr; 9(16):1–6


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.