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Clustering Algorithm in wireless sensor networks based on shortest path

机译:基于最短路径的无线传感器网络聚类算法

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The clustering technique is a kind of key method used to balance energy consumption in wireless sensor networks. It can increase the lifetime of the network and scalability. Energy-efficient clustering algorithms should be designed for the characteristic of homogeneous WSN. We propose and evaluate a new centralized energy-efficient clustering protocol for homogenous WSNs, which is called Distance energy evaluated DEE. In DEE, the cluster-heads (CHs), are elected by a probability based on the ratio between distance and residual energy of each node. The probability of being CH according to their initial and residual energy. Finally, the simulation results seemed that DEE achieves more effective messages and longer lifetime than current important clustering protocols in homogeneous environments.
机译:集群技术是一种用于平衡无线传感器网络能耗的关键方法。它可以增加网络的生存时间和可伸缩性。应针对同类WSN的特性设计高能效的聚类算法。我们提出并评估了一种针对同质WSN的新型集中式节能群集协议,称为“距离能量评估DEE”。在DEE中,簇头(CH)通过基于距离和每个节点的剩余能量之比的概率来选择。根据其初始能量和剩余能量而成为CH的概率。最后,仿真结果似乎表明,与同类环境中当前的重要聚类协议相比,DEE可实现更有效的消息和更长的寿命。

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