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Wireless Sensor Networks using Dynamic Cluster Head Selection using Fuzzy Interference System

机译:无线传感器网络使用动态群集头选择使用模糊推理系统

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The collection of enormous amount of homogenous sensor nodes forms the Wireless Sensor Network. These sensor nodes have restricted battery power and memory and so the limited amount of energy is considered as the major issue. To overcome this issue several mechanisms were proposed, among them clustering is a popular way which minimizes the consumption of energy in the sensor nodes and thus the life span of the Wireless Sensor Network can be increased. Grouping the sensor nodes in an energy efficient and distributed approach is considered as the important issue in clustering. So in order to triumph over these issues, a Fuzzy Based Dynamic Clustering (FDC) in Wireless Sensor Network is proposed. A fair comparison is done between this proposed algorithm and some existing algorithms. The simulation results obtained reveals that our proposed algorithm increases the lifetime and has better energy efficiency.
机译:巨大均匀传感器节点的集合形成无线传感器网络。 这些传感器节点具有限制电池电量和存储器,因此有限的能量被认为是主要问题。 为了克服这一问题,提出了多种机制,其中聚类是一种流行的方式,它最大限度地减少了传感器节点中的能量消耗,因此可以增加无线传感器网络的寿命。 以节能和分布式方法对传感器节点进行分组被认为是聚类中的重要问题。 因此,为了在这些问题上胜利,提出了一种无线传感器网络中的基于模糊的动态聚类(FDC)。 在这一提议的算法和一些现有算法之间进行了公平的比较。 获得的仿真结果表明,我们所提出的算法增加了寿命并具有更好的能效。

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