A Novel Hybrid Technique Based upon Static and Dynamic Clustering to Reduce Consumption in Wireless Sensor Network
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2016 by IJCOT Journal | ||
| Volume - 6 Issue - 2 |
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| Year of Publication : 2016 | ||
| Authors : Meenakshi Sharma, Vishal chowdhary, Alka thakur | ||
| DOI : 10.14445/22492593/IJCOT-V33P302 |
Citation
Meenakshi Sharma, Vishal chowdhary, Alka thakur"A Novel Hybrid Technique Based upon Static and Dynamic Clustering to Reduce Consumption in Wireless Sensor Network", International Journal of Computer & organization Trends (IJCOT), V6(2):7-12 Mar - Apr 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract The wireless sensor network is the type of Ad hoc network. Wireless sensor network is the self configuring networks; any sensor node can join or leave the network when they want. In Wireless sensor network no central controller is present, wireless sensor node are responsible for data routing in the network. Wireless sensor network is used to monitor the environmental conditions like temperature, pressure etc. Wireless sensor network is deployed in the far places like forests, deserts etc .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. Experimental results show that new proposed technique is more efficient, reliable and provide more throughput as compare to the existing technique.
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Keywords
Scalability, Fault Tolerance, Neural Networks, LEACH.