Graduate Research in Engineering and Technology (GRET)


In Wireless Sensor Networks (WSNs), Efficient clustering is key for optimal use of available nodes. Fault tolerance to any failure on the network or node level is an essential requirement in this context. Hence, a novel approach towards clustering and multiple object tracking in WSNs is being explored. The Proposed method employs judicious mix of burdening all available nodes including GH (Group Head) to earn energy efficiency and fault tolerance. Initially, node with the maximum residual energy in a cluster becomes group head and node with the second maximum residual energy becomes altruist node, but not mandatory. Later on, selection of cluster head will be based on available residual energy. We use Matlab software as simulation platform to check energy consumption at cluster by evaluation of proposed algorithm. Eventually we evaluated and compare this proposed method against previous method and we demonstrate our model is better optimization than other method such as Traditional clustering in energy consumption rate.





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