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Alleviation of Safety Measures in Underground Coal Mines Using Wireless Sensor Network: A Survey

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Machine Learning and Information Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1101))

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Abstract

Mining is one of the oldest endeavors regarded of mankind along with agriculture. To ensure personal safety of miners and maximizing the mining process improvements in safety measures is a must. Also wireless sensor networks play a vital role for monitoring the mining environment. This paper describes a survey of the improvements in safety measures in underground coal mines using the wireless sensor network finding the unexplored areas which needs improvement. To ensure quick rescue of miner’s, ground station plays a vital role. In view of all the safety measures taken together with the development of technology it is feasible to apply some of the technologies with modifications. This paper surveys the need for extended research in wireless sensor network and applications to monitor the UG mine environment effectively.

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Correspondence to Raghunath Rout .

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Rout, R., Pramanik, J., Das, S.K., Samal, A.K. (2020). Alleviation of Safety Measures in Underground Coal Mines Using Wireless Sensor Network: A Survey. In: Swain, D., Pattnaik, P., Gupta, P. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1884-3_37

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