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Timeline Improvement of Hierarchical Clustering Algorithms for Wireless Sensor Networks
Author(s) -
Nassirah Laloo,
Mohammad Sameer,
Gunasekaran Raja
Publication year - 2020
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2020920329
Subject(s) - timeline , computer science , cluster analysis , wireless sensor network , hierarchical clustering , wireless , data mining , algorithm , computer network , artificial intelligence , telecommunications , archaeology , history
Wireless sensor networks have a wide range of practical and useful applications. Since a wireless sensor network is driven by batteries, energy consumption is a critical factor to determine the life of the network. The energy of the nodes are dispensed mainly through sensing, processing and communication. Energy efficiency is an area that has attracted much research in the field of wireless sensor networks. In view of prolonging the network lifetime, various hierarchical clustering algorithms have been proposed in literature. In this paper, an analysis of the timeline improvement of hierarchical cluster based protocols for wireless sensor networks is presented.

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