用于智慧城市绿色物联网的模糊 C-Means 聚类方法

A. A. Hussein, H. Abdulrazzak
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引用次数: 0

摘要

基于集群的路由或分层路由是一种广受认可的方法,在可扩展性和通信效率方面具有特殊优势。在支持物联网的无线传感器网络中,利用集群路由是一种经济高效的数据收集和传输方法,可以利用剩余能量最多的节点收集和传输数据。本文提出了一种软模糊 C-Means 动态聚类(FCM-DC)方法。同时还提出了一种新的簇头(CH)选择技术。将所提出的模型与现有的基于簇的路由协议、LEACH 协议和 LEACH-C 协议进行了比较。与 LEACH 相比,拟议的 FCM-DC 模型在 50 个节点的情况下减少了约 16% 的数据包延迟,在 100 个节点的情况下减少了 86%。
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Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities
Cluster-based routing or Hierarchical is a widely recognized approach with particular benefits in terms of scalability and communication efficiency. In Wireless Sensor Networks supported $IoT$, the utilization of clustered routing is a cost-effective method of data collection and transmission, where nodes with the most energy remaining can be utilized to collect and transmit data. This paper proposed a soft Fuzzy C-Means Dynamic Clustering (FCM-DC) Approach. A new Cluster Head (CH) selection technique was presented also. The proposed model was compared with an existing cluster based routing protocol, LEACH protocol, and LEACH-C protocol. The proposed FCM-DC model reduce the packet delay about 16% in 50 nodes scenario and 86% in 100 nodes scenario compared with LEACH.
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