An Improved Approach in Clustering Algorithm for Load Balancing in Wireless Sensor Networks

Wireless sensor networks represent the next generation of sensing machines and structures. Inherent limited energy resource is the one of the limitations of wireless sensor nodes. In order to distribute the energy dissipated throughout the wireless sensor network, data load of the sensor nodes must be balanced. Clustering is one of the key mechanisms for load balancing. Clustering algorithms may result in some clusters that have more members than other clusters in the network and uneven cluster sizes negatively affect the load balancing in the network. In our proposed work we improve a cluster algorithm for load balancing in clusters. Efficiency of WSNs measured by the total distance between nodes to the base station and data amount that has is transfer. Cluster–Head which is totally responsible for the creating cluster and cluster nodes may affect the performance of the cluster. The purposed algorithm we choose a Master Node and vice master node for regions and sub regions. To find out the master node we partition the region and find out the centered of region, by which we select the master node. For every partitioned region again portioned if required and much like depend on master node and nodes in that partitioned area. Our purposed algorithm we can find the better lifetime and energy efficiency.