Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN

The Energy saving in wireless sensor network has become one of the ascending issue. To manage the remaining energy in nodes and extend the life time of the network, clustering is one of the efficient solution. Structuring homogenous and stable clusters as well as choosing the optimal cluster head is the key of an energy efficient clustering. This paper deals with an Energy Aware Cluster head selection protocol based on balanced Fuzzy c-mean clustering approach. This approach proposes uniform and stable cluster formation using Balanced Fuzzy c-mean algorithm with modified centroid. As for Cluster Head selection, three parameters are considered such as Residual energy of the node, Distance from the Base Station and Distance-Ratio. Simulation results on Matlab of the proposed approach are compared to basic energy efficient approaches such as LEACH, C-LEACH and TSI-LEACH.