An Approach for Cluster Head Selection using Hybrid Selection and Recovery Approach in WSN

WSNs are used research area due to their several application domains. The presentation of WSNs depends on the topology of sensors and their ability to adapt to changes in the network. Sensor nodes are often resource constrained by their limited power, communication distance capacity is low, and restricted sensing capability. Therefore, they need to co-operate with each other to achieve a specific task. [1] [3] Thus, clustering enables sensor nodes to communicate through the cluster head node for constant communication process. In this paper, we introduce a dynamic cluster head selection technique. Every node in the cluster calculates its residual energy value to determine its candidacy to become the Cluster Head Node (CHN). [1] With this mechanism, each sensor node estimates its residual energy level to other nodes in the same cluster. Lean on the unused energy level the sensor node acts as the second cluster head. Interpretation of the dynamic CHN selection mechanism is shown using network simulator-2 (ns2). The simulation results show that the recommended methods drag out the network lifetime and adjust the energy utilization model among the nodes of the cluster. [2].