高能效无线传感器网络的分散模糊c均值最小聚类协议

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI:10.1109/PDGC.2018.8745853

Parag Kumar Guha Thakurta, S. Roy

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引用次数: 1

摘要

提出了一种基于模糊c均值(FCM)的最小聚类协议，通过平衡节点的能量消耗来延长无线传感器网络的生存期。在传感器节点分布不均匀的情况下，将节点的聚类形成建模为样本空间的模糊划分。根据最小簇数确定网络的总能耗。提出了一种多准则目标函数来选择CH。一种分散的方法在每个簇中找到CH，减少了网络的能量消耗。各种仿真结果表明，所提出的工作相对于现有协议是有效的。

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A Decentralized Fuzzy C-Means Minimal Clustering Protocol for Energy Efficient Wireless Sensor Network

A minimal clustering protocol based on Fuzzy-C means (FCM) is proposed for prolonging the lifetime of wireless sensor networks by balancing the node's energy consumption. The cluster formation of nodes is modeled as a fuzzy partition of sample space under an uneven distribution of the sensor nodes. The overall energy consumption of the networks depending on the minimal number of clusters is determined. A multicriteria objective function is proposed to select the CH. A decentralized method finds CH in each cluster itself reducing the energy consumption of the network. The efficiency of the proposed work over existing protocol are shown by various simulations.

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2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)

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