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An Unequal Clustering Algorithm Based on Spacing and Residual Energy for Wireless Sensor Networks

机译:基于间距和剩余能量的无线传感器网络不平等聚类算法

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The energy of a node in Wireless Sensor Networks (WSNs) is limited, so WSNs need energy saving algorithms. We propose an unequal clustering algorithm based on spacing and RE for WSNs (USRE). URSE prolong the lifetime from the two aspects. One is to select some appropriate nodes to become cluster heads (CHs), the other is to ensure the proper distribution of CHs. To reduce the energy consumption, CHs are selected in the nodes closed to the around nodes (ANs). Besides the spacing among the ANs, the residual energy (RE) and number of ANs are the condition for CHs selection. A node with higher RE and more ANs is more likely to be a CH. USRE calculates the minimum distance between two CHs. If a node is close to a selected CH, it won’t be a CH. USRE is compared with other algorithms. The results show that the performance of USRE is better than other algorithms such as network lifetime.
机译:无线传感器网络(WSN)中节点的能量是有限的,因此WSN需要节能算法。我们针对WSN(USRE)提出了一种基于间隔和RE的不平等聚类算法。 URSE从两个方面延长了使用寿命。一种是选择一些合适的节点以成为簇头(CH),另一种是确保CH的正确分配。为了减少能量消耗,在靠近周围节点(AN)的节点中选择CH。除了AN之间的间隔外,剩余能量(RE)和AN的数量是选择CH的条件。 RE较高且AN较多的节点更可能是CH。 USRE计算两个CH之间的最小距离。如果节点靠近选定的CH,则不会是CH。将USRE与其他算法进行比较。结果表明,USRE的性能优于其他算法,例如网络寿命。

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