Abstract: In recent days research is focusing in improvement of node energy level and prevents the Cluster Head (CH) from failure in Wireless Sensor Networks (WSN). An important issue in most of the clustering process is the selection of Cluster Head (CH) that is reliable and more efficient. Definition of energy level and larger distance between the cluster head and the sink ultimately leads to CH failure or failure in data transmission. This study proposes the fuzzy decision model of an adaptive clustering and routing protocol in wireless sensor networks. This Cluster Head collects the information from any of the routing path available in wireless sensor nodes. The packets are transmitted in many different ways to the nodes and obviously every node will be in its own energy level and if any energy losses of CH occur, cluster head fails and it is unable to sink the node in a path and crosses communication. Alternate node of Cluster Head, due to failure or disability to recharge failed nodes, it is used for better communication, reduction of energy consumption of node and time delay reduction.
T. Prabakaran and N.K. Karthikeyan, 2016. Improving the Energy Level of Node and Prevent the Cluster Head Failure in Wireless Sensor Networks. Asian Journal of Information Technology, 15: 1663-1669.