title,doi,url,abstract,journal,publication_year,pmid,arxiv
A Comparative Analysis of Hierarchical Agglomerative Clustering and Distributed HAC , https://doi.org/10.32628/IJSRCSEIT, https://ijsrcseit.com/CSEIT172411, 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., International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2017, CSEIT172411