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A Distributed Multi-competitive Clustering Approach for Wireless Sensor Networks

机译:无线传感器网络的分布式多竞争集群方法

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Wireless sensor networks (WSNs) need simple and effective approaches to reduce energy consumption because of limited energy. Clustering nodes is an effective approach to make WSNs energy-efficient. In this paper we propose a distributed multi-competitive clustering approach (DMCC) for WSNs. First, the nodes with high residual energy are selected to act as cluster head candidates (CHCs). Second, cluster heads (CHs) are selected from the CHCs based on a hybrid of competition. If the distances to the selected CHs are suitable, a CHC with more neighbor nodes and smaller average distance to its neighbor nodes is more likely to become a CH. If the number of CHs selected from the CHCs is insufficient, more CHs are selected from non-CHCs continually according to residual energy until the CHs number is suitable. DMCC makes the CHs number stable and distribute the CHs evenly. Simulation experiments were performed on to compare DMCC with some related clustering approaches. The experimental results suggest that DMCC balances the load among different clusters and reduces the energy consumption, which improves the network lifetime.
机译:由于能量有限,无线传感器网络(WSN)需要简单有效的方法来减少能耗。群集节点是使WSN节能的有效方法。在本文中,我们提出了一种用于WSN的分布式多竞争聚类方法(DMCC)。首先,选择具有高剩余能量的节点作为簇头候选(CHC)。其次,基于竞争的混合,从CHC中选择簇头(CH)。如果到所选CH的距离合适,则具有更多邻居节点且到其邻居节点的平均距离更小的CHC更有可能成为CH。如果从CHC中选择的CH的数量不足,则根据剩余能量连续从非CHC中选择更多的CH,直到CH的数量合适为止。 DMCC使CH编号稳定并平均分配CH。进行了仿真实验,以将DMCC与一些相关的聚类方法进行比较。实验结果表明,DMCC平衡了不同集群之间的负载并降低了能耗,从而延长了网络寿命。

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