Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : WOCC
Source : 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012, Kaohsiung, p.99-104 (2012)
ISBN : 9781467309394
Keywords : Carbon monoxide, Chain-type, Clustering protocol, Coal mines, Data aggregation, Data communication systems, Early Warning System, Energy efficiency, Energy efficient, Gas detectors, Gas monitoring, High sensitivity, Hydrogen sulfide, Low power sensor, Low-power consumption, Methane, Methane gas, Methane outburst, Methane sensor, Optical communication, Optimization, Outburst prediction, Power Optimization, Semiconductor-type, Sensor nodes, State transitions, Toxic gas monitoring, Transmitting mode, Underground coal mine
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2012
Abstract : Early detection of spontaneous explosions in coal mines can be made possible by monitoring the concentration of toxic gases such as Carbon monoxide (CO), Methane (CH 4) and Hydrogen sulfide (H 2S). Methane gas detection is very important for outburst prediction. In order to protect people and to avoid destructive sequence, it is necessary to design a system that can predict methane outburst in coal mines. In order to improve the reliability of gas monitoring in coal mine, we design a wireless sensor network (WSN) with gas sensors. The wireless sensor network is suitable for toxic gas monitoring in the severe environment of underground coal mines. Semiconductor type methane sensor having low power consumption and high sensitivity is used in the proposed system. The chain type clustering of low power sensor nodes along with data aggregation is devised to optimize the power consumption by the WSN. Additional feature of minimum data transmission and state transitions between listening, sleeping and transmitting modes in sensor nodes also guarantee power optimization. © 2012 IEEE.
Cite this Research Publication : Menon, K.A.U. , Maria, D. and Thirugnanam, H. "Energy efficient clustering protocol for early warning system for miner's safety in coal mines " 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012 .