Clustering Algorithms for Wireless Sensor Networks Survey

Author:

Loganathan Sathyapriya,Arumugam Jawahar

Abstract

This paper aims to discuss a comprehensive survey on clustering algorithms for wireless sensor networks (WSN). The several real-time applications adopted the WSN with the advance features. But the capacity and size of the battery used in the sensor nodes are limited. Battery replacement or recharging is very difficult in most outdoor applications. Hence handling this kind of network is one of the issues. One of the best solutions to the energy issue is Clustering. Clustering is to balance the energy consumption of the whole network by cluster-based architecture to prolong the network lifetime. Sensor nodes grouped into clusters; one sensor node selects as the cluster head for each cluster. The cluster head sensor node collects the data from their sensor member nodes and forwards them to the sink node. In cluster-based architecture, cluster formation and the selection of the cluster head node decides the network lifetime. The paper discusses the for and against various clustering algorithms. It suggests the vital parameters for developing energy-efficient clustering algorithms and steps to overcome the limitations.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Supplemented Distributed Energy Efficient Clustering Algorithm for Wireless Sensor Networks;2023-07-25

2. Localization in wireless sensor networks and wireless multimedia sensor networks using clustering techniques;Multimedia Tools and Applications;2023-06-18

3. A Cluster Heads Selection Algorithm of Wireless Sensor Network Based on Cluster Notes Number;Proceedings of the 11th International Conference on Computer Engineering and Networks;2021-11-12

4. Multi-layer Uneven Clustering for Wireless Sensor Networks;Proceedings of the 11th International Conference on Computer Engineering and Networks;2021-11-12

5. Majority Decision Aggregation with Binarized Data in Wireless Sensor Networks;Symmetry;2021-09-10

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