• S.Aravindhan
• Dr. D. Maruthanayagam

Incredible development of Wireless sensor networks (WSNs) has been infrastructure-less wireless networks and self-configured to monitor the interface between the virtual and physical environmental condition. Clustering process is one of the most energy effective techniques to manage sensor nodes or gateway sensor networks utilizing WSNs. Sensor nodes sense and ensure the changes in external environment and the data transmit over the other nodes in the network known as the BS (Base station) or sink node. The performance analysis of the network provides affected because of limited battery life of sensor nodes. Several power management protocols and clustering methods proposed for WSN to minimize energy consumption. The sensors control the limited battery life so that it performs a difficult task to improve an efficient routing approach that can reduce the delay time while affording long network lifetime and increase energy efficiency. Achieve both the scalability and energy efficiency at the same time is a challenging task in WSNs. In this paper, an elaborate performance analysis of the current clustering algorithms like DHAC (Distributed hierarchical agglomerative clustering), HAC (Hierarchical Agglomerative Clustering), and K-Means with MapReduce in WSNs has been presented and comparative analysis of Wireless sensor networks. This comparative result will support for further proposed research. This research will help for proposed idea by the comparative result.

Wireless sensor network, Clustering in wireless sensor network, Data Aggregation, MapReduce and Hadoop, clustering algorithms, Distributed hierarchical agglomerative clustering, Hierarchical Agglomerative Cluster, K-Means Clustering Using Map-Reduce Technique

"Analysis of Clustering Performance and Stability in Wireless Sensor Networks Using DHAC, HAC and K-Means with Mapreduce Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.474-484, March-2019, Available :http://www.jetir.org/papers/JETIR1903I70.pdf

"Analysis of Clustering Performance and Stability in Wireless Sensor Networks Using DHAC, HAC and K-Means with Mapreduce Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp474-484, March-2019, Available at : http://www.jetir.org/papers/JETIR1903I70.pdf