An Energy Optimal Clustering Algorithm. (May 2019)

• Record Type: Journal Article
• Authors: Zhong, Yang; Huang, ZhiPing; Xu, Yiyao
• Is Part Of: Journal of physics. Volume 1229(2019)
• Publication Date: 2019-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1229/1/012067
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: For a network, two key evaluation indicators are the network lifetime and network throughput. Different clustering algorithms can be promoted for different aspects. A reasonable clustering algorithm can effectively improve the load balancing of the network and can make the distribution of CHs (cluster heads) more uniform. Aiming at the problem of cluster preference, this article presents an improved algorithm based on the classical LEACH (Low Energy Adaptive Clustering Hierarchy) algorithm, which takes the residual Energy of nodes and the uniformity of node distribution as the primary consideration for selecting CH.