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A Connected Dominating Set-based Weighted Clustering Algorithm for Wireless Sensor Networks

机译:基于连接支配集的无线传感器网络加权聚类算法

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Grouping of sensor nodes into clusters is the most popular approach to support scalability in Wireless Sensor Networks (WSN). The performance of WSNs can be improved suitably by selecting the qualified nodes to form a stable backbone structure with guaranteed network coverage. In this paper, we propose a centralized and weighted algorithm for dynamic sensor networks which require reliable data gathering. The solution is based on a (k, r) - Connected Dominating Set, which is suitable for cluster-based hierarchical routing. This improves reliability, provides variable degree of clusterhead redundancy and reduces route searching space in WSN. To create a stable and efficient backbone structure, backbone sensor nodes are selected based on quality, which is a function of the residual battery power, node degree, transmission range and mobility of the sensor nodes. Performance of the algorithm is evaluated through simulation. It is observed that the proposed algorithm performs well in terms of number of elements in the backbone structure, load balancing and the number of re-affiliations.
机译:将传感器节点分组到群集是支持无线传感器网络(WSN)中可伸缩性的最流行方法。通过选择合格的节点以形成具有保证的网络覆盖范围的稳定的主干结构,可以适当地提高WSN的性能。在本文中,我们为需要可靠数据收集的动态传感器网络提出了一种集中式加权算法。该解决方案基于(k,r)-连接控制集,适用于基于群集的分层路由。这样可以提高可靠性,提供可变程度的簇头冗余,并减少WSN中的路由搜索空间。为了创建稳定高效的主干结构,将根据质量选择主干传感器节点,该质量取决于电池剩余电量,节点的度数,传输范围和传感器节点的移动性。通过仿真评估算法的性能。可以看出,所提出的算法在骨干结构中的元素数量,负载平衡和重新隶属关系数量方面表现良好。

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