Comparative Study and Analysis of Hierarchical Clustering Methods in Wireless Sensor Networks
Hierarchical clustering is a procedure of cluster analysis which aims to construct a hierarchy of clusters. There are two kinds of hierarchical clustering i.e. agglomerative, which is a bottom - up approach, where all the observations start in its own cluster and pairs of clusters are merged moving up the hierarchy, and the other one is divisive, which is a top - down approach, where each observation starts in one cluster, and splits up recursively while moving down the hierarchy. The main problem is shortage of network lifetime, presence of less residual energy, cost of building the clusters and the issue of dead nodes, which occur very frequently.