An Efficient Centralized Clustering approach for Wireless Sensor Networks

Wireless Sensor Networks consists of no. of micro sensor nodes to monitor a remote environment by using aggregated data from individual nodes and transfer this data to the base station for further purpose. Here the energy of operated nodes is susceptible store of the Wireless Sensor Network, which is useless at a rate when information is transmitted, because transmission energy is reliant on the expanse of transmission. In clustering approach, the cluster head node slack a major quantity of energy during transmission to base station. So hear the selection of cluster head is important task. An efficient etiquette must opt cluster heads based on environmental position of node and its outstanding energy. So, we need etiquette for cluster head selection in wireless sensor network, it is sprint at the base station and tumbling the node’s liveliness use and growing their life span. We implement a fuzzy-logic for the purpose of select a cluster head node along with the nodes of network, it is depending on two parameters one is contemporary energy of the node and second is remoteness of the node from the base station. The etiquette is named TRICKLE based on energy and distance and is scuttle at base station where a new situate of cluster heads are selected at every round, and it is increase the network life span. The replication results show that the proposed approach is more effective than the existing etiquette.