ENERGY EFFICIENT WIRELESS CLUSTERING USING BIOGEOGRAPHY BASED OPTIMIZATION.
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Abstract
Wireless sensor networks are constrained with limited battery lifetime. WSN consist of sensor nodes and cluster heads which are battery operated. hence efficient usage of cluster head energy becomes a crucial factor in the long run operation of a WSN. Many artificial algorithms have been implemented in the past to achieve energy efficient wireless clustering. we propose a new artificial intelligence based wireless clustering algorithm that performs better than all the existing algorithms. We use Biogeography Based Optimization to minimize the energy consumption by cluster heads in a WSN. The proposed algorithm outperforms all the existing algorithms.
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