Enhancing lifetime of network using clustering algorithms

A literature survey

Authors

  • Suganthi S Assistant Professor, Department of Computer Science, G Venkataswamy Naidu College, Kovilpatti
  • Usha D Assistant Professor, Department of Computer Science, Mother Terasa Women`s University, Kodaikanal
  • Mahizharuvi P Assistant Professor, Department of Computer Science, Sri Meenakshi Govt Arts College for Women, Madurai
  • Illakiam D Assistant Professor, Department of Biotechnology, Mother Terasa Women`s University, Kodaikanal

Keywords:

wireless sensor network, cluster heads, base station, threshold, K-coverage, genetic algorithm

Abstract

Wireless Sensor Networks (WSNs) are considered as the main challenging features by the researchers for pursuing their research. The vital challenges in WSNs are to preserve energy and to do this the networks are made as clusters. The concept of clustering is, the nodes are segregated into several clusters and few nodes act as Cluster Heads. The nodes collect and send the data to CH. In turn CH, collect all datas and after grouping it, transmits the data to Base Station. The advantage of nodes being clustered includes: energy-efficiency, scalability, etc. Depending on the network architecture and application, the Clustering algorithms may differ for the Wireless Networks. Load balancing of network is also to be looked into. The amount of energy consumed by CH must be checked for enhancing the lifetime of the network. In this paper the authors has done a survey on three papers and have summarized the findings.

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Published

18-10-2022

How to Cite

Suganthi, S., Usha, D., Mahizharuvi, P., & Illakiam, D. (2022). Enhancing lifetime of network using clustering algorithms: A literature survey. International Journal of Health Sciences, 6(S8), 5319–5330. Retrieved from https://sciencescholar.us/journal/index.php/ijhs/article/view/13447

Issue

Vol. 6 No. S8 (2022)

Section

Peer Review Articles
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