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NEAR OPTIMAL CLUSTER-HEAD SELECTION FOR WIRELESS SENSOR NETWORKS

NEAR OPTIMAL CLUSTER-HEAD SELECTION FOR WIRELESS SENSOR NETWORKS
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摘要 Clustering in wireless sensor networks is an effective way to save energy and reuse bandwidth. To our best knowledge, most of the clustering protocols proposed in literature are of a dynamic type, where cluster heads are selected in each period, followed by cluster formation. In this paper, a new static type clustering method called Hausdorff clustering, which is based on the location of sensor nodes as well as communication efficiency and network connectivity, is proposed. The cluster head, however, is rotated within the cluster by a fuzzy logic algorithtn that optimizes the network lifetime. Simulation results show that this approach can significantly increase the lifetime of the sensor network. Clustering in wireless sensor networks is an effective way to save energy and reuse band- width. To our best knowledge, most of the clustering protocols proposed in literature are of a dynamic type, where cluster heads are selected in each period, followed by cluster formation. In this paper, a new static type clustering method called Hausdorff clustering, which is based on the location of sensor nodes as well as communication efficiency and network connectivity, is proposed. The cluster head, however, is rotated within the cluster by a fuzzy logic algorithm that optimizes the network lifetime. Simulation results show that this approach can significantly increase the lifetime of the sensor network.
出处 《Journal of Electronics(China)》 2007年第6期721-725,共5页 电子科学学刊(英文版)
基金 Supported in part by the National Natural Science Foundation of China (No.60472053) the Natural Science Foundation of Jiangsu Province (No.BK2003055) the Specialized Research Foundation for the Doctoral Pro-gram of Higher Education (20030286017).
关键词 Sensor networks Hausdorff clustering Fuzzy logic 通信技术 网络 逻辑分析 模糊技术
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