Performance analysis of hierarchical agglomerative clustering in a wireless sensor network using quantitative data

Clustering is a useful mechanism in wireless sensor networks which helps to cope with scalability and data transmission problems. The motivation of our research is to provide efficient clustering using Hierarchical agglomerative clustering (HAC). If the distance between the sensing nodes is calculated using their location then it's quantitative HAC. This paper compares the various agglomerative clustering techniques applied in a wireless sensor network using the quantitative data. The simulations are done in MATLAB and the comparisons are made between the different protocols using dendrograms.

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