Energy efficient reclustering method for wireless sensor networks

摘要

In a harsh environment, enormous number of sensor nodes are spreaded randomly in the network. Each and every sensor will sense the physical environment and communicates the information to the processing node. Here, power source plays the vital role. To balance energy dissipation, clustering strategy is adopted in which sensor network is grouped in to a set of clusters, one node is chosen as cluster head(CH) from each cluster. Sometimes perverse cluster leader will lead to coverage problem and network life time is also get affected. To overcome this, thiessen polygon is used to group the observing region to guarantee the maximum coverage and the divided area are put in to clusters and one node is selected on the same coverage area but the most redundant nodes as first kind of cluster head. In one particular region, all redundant node died then redivide it, after that, second kind of cluster head is selected. Experimental results show that our proposed method Energy Efficient Reclustering Method(EERM) maintains the network lifetime longer when compared with existing clustering algorithms like Low Energy Adaptive Clustering Hierarchy(LEACH), Distributed Energy Efficient Clustering (DEEC) and Dynamic Cluster Head Selection Method(DCHSM).