Two way clustering approach for energy consumption of cluster head and decrease probability of failure nodes in WSNs

This paper addresses the problem of energy conservation in clustering algorithm for wireless sensor network. Since the major source of energy consumption in the sensor node is the wireless interface, considerable energy can be saved if the transceivers are completely shut down for a period of time. These sleeping times must be carefully scheduled, or network functionality could be compromised. Here it is classic clustering algorithms in wireless sensor networks and finds two main reasons causing unnecessary energy consumption, which are fixed operation periods and too much information exchanged in cluster-heads selection. Here it is proposed clustering methods with less communication overhead for clustering based on federal management in k-means algorithm effective clustering and distributed algorithm. Once the cluster heads and associated clusters are created, cluster-head-to-gateway routing is used to transfer the data to the base station to reduce the energy consumption of cluster head and decrease probability of failure nodes. to conclude, the Simulation results have shown that our approach achieves lower average delay, more energy saving, more network lifetime and higher delivery ratio than the other protocols.