Wireless Sensor Network Based Underground Coal Mine Environmental Monitoring Using Machine Learning Approach

2018 ◽  
pp. 776-786
Author(s):  
Lalatendu Muduli ◽  
Devi Prasad Mishra ◽  
Prasanta K. Jana
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Sensor Network ◽  
Coal Mine ◽  
Wireless Sensor ◽  
Learning Approach ◽  
Underground Coal Mine ◽  
Machine Learning Approach

Wireless Sensor Network

2017 ◽  
pp. 145-160 ◽  
Author(s):  
Pankaj Kumar Mishra ◽  
Pratik ◽  
Manish Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Radio Frequency ◽  
Sensor Network ◽  
Coal Mine ◽  
Coal Mines ◽  
Wireless Sensor ◽  
Physical Parameters ◽  
Underground Coal Mine ◽  
Rf Signals ◽  
Underground Coal Mines

Wireless Sensor Network (WSN) has an enormous prospective in hazardous areas such as underground coal mines. However, there is a need to ensure safety while installing WSN in underground coal mine as it is hazardous in nature and WSN radiates Radio Frequency (RF) signals which can be an eminent source of ignition. Henceforth when the underground coal mines are equipped with WSN there is a need to set the threshold limits of different physical parameters in order to eradicate such hazards for enabling safety. Therefore, in the present chapter, attempts have been made to assess the required safety for WSN while installing in underground coal mines. In addition, various types of hazards associated with underground coal mines and their consequences are elaborated in details with a glimpse to mitigate them with the use of WSN.

scholarly journals Wireless Sensor Network for Environmental Monitoring with 3G Connectivity

2014 ◽  
Vol 87 ◽  
pp. 524-527 ◽  
Author(s):  
Thomas Posnicek ◽  
Karlheinz Kellner ◽  
Martin Brandl
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Sensor Network ◽  
Wireless Sensor
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