A Comparative Analysis of Hierarchical Agglomerative Clustering and Distributed HAC

Authors(2) :-S. Aravindhan, Dr. D. Maruthanayagam

In the hierarchical wireless sensor network (WSN), cluster-based network architecture can enhance network self-control capability and resource efficiency, and prolong the whole network lifetime. Thus, clustering has also been a topic of interest in many different disciplines. Finding an energy-effective and efficient way to generate cluster is very important in WSN. This paper describes the well-understood Hierarchical Agglomerative Clustering (HAC) algorithm by provide a Distributed HAC (DHAC) algorithm. With simple six-step clustering, DHAC provides a bottom-up clustering approach by grouping similar nodes together before the cluster head (CH) is selected. DHAC can accommodate both quantitative and qualitative information types in clustering, while offering flexible combinations using four commonly used HAC algorithm methods, SLINK, CLINK, UPGMA, and WPGMA. With automatic CH rotation and re-scheduling, DHAC avoids re-clustering and achieves uniform energy dissipation through the whole network.

Authors and Affiliations

S. Aravindhan
Sri Vijay Vidyalaya College of Arts & Science, Dharmapuri, Tamilnadu, India
Dr. D. Maruthanayagam
Head/Professor, PG and Research Department of Computer Science, Sri Vijay Vidyalaya College of Arts & Science, Dharmapuri, Tamilnadu, India

Wireless Sensor Network, Distributed Hierarchical Agglomerative Clustering (DHAC), Cluster Head, SLINK, CLINK, UPGMA and WPGMA.

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 78-85
Manuscript Number : CSEIT172411
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Aravindhan, Dr. D. Maruthanayagam, "A Comparative Analysis of Hierarchical Agglomerative Clustering and Distributed HAC ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.78-85, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT172411

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