A Genetic Algorithm-Based Approach for Energy- Efficient Clustering of Wireless Sensor Networks

In this paper, the authors propose a Genetic Algorithm (GA) to optimize sensor nodes' energy consumption. Attention is paid to the clustering technique as an efficient way for reducing energy consumption of a sensor node as well as the cost of transmission. They use a multi-objective algorithm that generates an optimal number of sensor-clusters with cluster-heads and minimizes the cost of transmission. The components are thereafter used and the average fitness of the system is evaluated. The effectiveness of their algorithm is shown by simulation.

Provided by: International Journal of Information and Electronics Engineering Topic: Mobility Date Added: Mar 2012 Format: PDF

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