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An Analysis of Topology Based System Control Clustering Algorithm in Wireless Sensor Networks

机译:无线传感器网络中基于拓扑的系统控制聚类算法分析

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Topology control is a basic issue in wireless sensor networks. It has great significance to establish the hierarchy clustering topology for improving the network performance. Characteristics of the immune system, such as memory learning, feedback regulation and distributed autonomous without a center, provide a novel approach to the issues that exist in the clustering topology control in wireless sensor networks. Mechanism of immune system based topology control clustering algorithm is presented for wireless sensor networks in this paper. It mainly contains the definition of the immune problem, the algorithm’s design and implementation, simulation test. Through the simulation on the performance of clustering optimization, the algorithm shows good clustering performance based on the mechanism of the immune system.
机译:拓扑控制是无线传感器网络中的一个基本问题。建立层次聚类拓扑对提高网络性能具有重要意义。免疫系统的特征(例如记忆学习,反馈调节和无中心的分布式自治)为解决无线传感器网络中的群集拓扑控制中存在的问题提供了一种新颖的方法。针对无线传感器网络,提出了一种基于免疫系统的拓扑控制聚类算法。它主要包含免疫问题的定义,算法的设计和实现,模拟测试。通过对聚类优化性能的仿真,该算法基于免疫系统的机理表现出良好的聚类性能。

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