Minimum energy multi-objective clustering model for Wireless Sensor Networks
Souissi Manel, Aref Meddeb · 2016
Wireless Sensor Networks (WSNs) constitute a very dynamic research area. The constraints related to deployment, topology, and energy motivates much of the research activities related to the WSNs. In a network of thousands of sensor nodes, routing management and data exchange are expensive in terms of energy consumption and storage capacity. In fact, a sensor needs to store a lot of information to perform data routing. A lot of researchers have proposed clustering to minimize energy consumption by cutting the network into groups and routing captured information at different hierarchical levels. Clustering has been deeply investigated for energy savings in the WSNs. It has also the advantage of being an alternative to address scalability problems. However, building and maintaining a cluster structure requires an additional cost compared to flat networks. In this paper, we address the problem of maximizing the network lifetime by means of cluster formation and by assigning sensor nodes to cluster heads. We propose a multi-objective model for clustering that guarantees an optimal selection of cluster heads among sensor nodes with the highest residual energy while simultaneously minimizing the intra cluster distance. The numerical results demonstrate the effectiveness of our model compared to existing ones.