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The Neural Network based Technique for Fault Tolerance in Wireless Sensor Networks

Authors(2):

Sarbjeet Singh, Dr. Sandeep Kautish
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Wireless sensor network is the self-configuring network where any sensor node can join or leave the network when they want. In Wireless sensor network no central controller is present. Wireless sensor nodes are responsible for data routing in the network. Wireless Sensor nodes are very small in size and have limited resources. In such far places it is very difficult to recharge or replace the battery of the sensor nodes. In such conditions, we focus to reduce the battery consumption of the sensor nodes. In this work, a new technique is proposed to reduce battery consumption. It will be based on the dynamic clustering using neural network. Before data transmission sensor nodes form the cluster dynamically using Boltzmann learning of the neural network and weights are adjust according to the situation and it also enhance the efficiency of the dynamic clustering. Experimental results show that new proposed technique is more efficient, reliable and provide more throughput as compare to the existing technique.

Sarbjeet Singh, Dr. Sandeep Kautish

WSN, Neural Networks, Boltzmann learning

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Publication Details

Published in : Volume 3 | Issue 5 | July-August - 2017
Date of Publication Print ISSN Online ISSN
2017-08-31 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
169-172 IJSRSET1173446   Technoscience Academy

Cite This Article

Sarbjeet Singh, Dr. Sandeep Kautish, "The Neural Network based Technique for Fault Tolerance in Wireless Sensor Networks", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.169-172, July-August-2017.
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