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An Energy Efficient and Density control Clustering Algorithm for Wireless Sensor Network

机译：无线传感器网络的高效节能和密度控制聚类算法

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In order to extend the lifetime of wireless sensor networks, many approaches have been done dividing the network into clusters, gathering data from nodes and aggregating them to the base station. Some of the clustering algorithms consider the residual energy of the nodes in the selection of the cluster heads and others rotate the selection of cluster heads periodically. However, they rarely study the density of the network or the local distance. In this paper, we introduce an energy efficient and density control clustering algorithm (EEDCA) which chooses the best nodes in the network to become cluster heads then divides the network into clusters. On this proposed approach, the selection of the cluster head depends on residual energy, density and distance. Each node compares its residual energy with nodes placed on its range. The EEDCA algorithm extends the lifetime of the wireless sensor network, and to prove its efficiency our simulation results show that the proposed solution aims to prolong the lifetime of the wireless sensor network more efficiently.
机译：为了延长无线传感器网络的寿命，已经完成了许多方法来将网络划分为群集，从节点收集数据并将它们聚合到基站。一些聚类算法在选择簇头时考虑了节点的剩余能量，而另一些则周期性地旋转选择簇头。但是，他们很少研究网络的密度或本地距离。在本文中，我们介绍了一种节能高效的密度控制聚类算法（EEDCA），该算法选择网络中的最佳节点成为簇头，然后将网络划分为多个簇。在此提议的方法上，簇头的选择取决于剩余能量，密度和距离。每个节点将其剩余能量与放置在其范围内的节点进行比较。 EEDCA算法延长了无线传感器网络的寿命，并且为了证明其效率，我们的仿真结果表明，所提出的解决方案旨在更有效地延长无线传感器网络的寿命。

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