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A Fuzzy-Based Simulation System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

机译:基于模糊的基于模糊的簇头选择和无线传感器网络传感器速度控制的模糊仿真系统

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Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, we have proposed a system for controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is based on fuzzy logic. We use 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.
机译:群集形成和群集头选择是传感器网络应用中的重要问题,并且可以大大影响网络的通信能量耗散。但是,在不同的环境中选择群集头并不容易,其可能具有不同的特征。为了处理这个问题,我们提出了一种用于控制无线传感器网络(WSN)中的传感器速度的系统。所提出的系统基于模糊逻辑。我们使用4个输入语言参数:传感器(RPS)的剩余功率,邻居节点(D3N)的数量,距集群质心(DCC)和传感器速度(SS)的距离,用于选择簇头和传感器的控制速度。通过控制传感器速度,我们能够预测节点是否会留在群集中。我们通过模拟评估所提出的系统,并表明系统具有良好的行为。

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