Mines environment monitoring for prediction &
prevention from accidents is important application of Wireless
Sensor Networks (WSN). There are challenging situations occur
in field of mines due to changes in environmental conditions &
abrupt events. A design of a wireless sensor network contains
ZigBee protocol & a Structure-Aware Self-Adaptive WSN
system. There are two types of node architecture which is Master
& Slave node architecture i.e. moving & fixed node respectively.
For safety & prevention from accidents the proposed system uses
Wearable Sensor System (WSS) i.e. moving node.WSS is a life
guard system which is used to monitor environmental and
physiological parameters in dangerous environment. Here
proposed system uses routing protocol for fast data transmission.
For prediction of different conditions uses Bayesian Algorithm
and gives probability based decision making.
Pooja Jadhav : Department of Computer science and Engineering,
G.H. Raisoni Institute of Engineering and Technology for Women, RTMNU, Nagpur, Maharashtra, India
Vaishali Sahare : Department of Computer science and Engineering,
G.H. Raisoni Institute of Engineering and Technology for Women, RTMNU, Nagpur, Maharashtra, India
Bayesian algorithm
Routing protocol
Wireless Sensor Networks (WSN)
Wearable Sensor System (WSS)
ZigBee
Protocol
Wireless sensor network (WSN) has great impact on
industry, mines and our daily life. According to survey,
this technology has been preferred in mines from several
days. But it doesn’t have capability to prevent accidents
totally & predict environment before moving ahead by
miners. Earlier technologies are not so efficient because
network congestion occur; sometimes accurate data
sending is also not takes place. So, this project presents a
monitoring system in mines for the safety of miners. It
contains such prediction & prevention technique due to
which miners will easily predict the geological
environment in mines & prevent itself. So design of stable
& moving node will takes place.
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