Clustering Algorithm Based on Fuzzy Comprehensive Evaluation for Wireless Sensor Networks

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• 作者：Teng Gao ; Jin-Yan Song ; Jin-Hua Ding…
• 关键词：Wireless sensor networks ; Clustering ; Routing ; Fuzzy comprehensive evaluation ; Compromise algorithm
• 刊名：International Journal of Wireless Information Networks
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：24
• 期：1
• 页码：1-13
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering;
• 出版者：Springer US
• ISSN：1572-8129
• 卷排序：24

文摘

Energy efficiency and quality of service (QoS) are both required performances in the practical applications of wireless sensor networks. Clustering is one of main methods to achieve performance tradeoffs. In the clustering algorithm, the selection of the cluster heads is based on some criteria, which provides the opportunity to implement the performance tradeoffs. In this paper, a clustering algorithm based on fuzzy comprehensive evaluation method (CAFCE), is proposed to achieve both energy efficiency and QoS performance. Residual energy, location, number of neighbors, queue length and channel quality are taken into account as the factors that can influence the selection of cluster heads. Fuzzy comprehensive evaluation method is adopted to select appropriate cluster heads in order to achieve energy efficiency and QoS performance simultaneously. Each node obtains its own evaluation value. Then this value is mapped onto the time axis, and a time-trigger mechanism enables the node broadcast cluster head advertisement in the corresponding time slice. The rule of minimum transmission power is adopted to form the cluster. Simulation results denote that CAFCE algorithm has longer lifetime and better QoS performance than other algorithms.