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Topology upgrading method for energy balance in scale-free wireless sensor networks

机译:无标度无线传感器网络中能量平衡的拓扑升级方法

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Scale-free can be seemed as one of the most impacting discoveries in complex networks theory and has already been successfully proved to be highly effective in constructing error-tolerant topology structures of wireless sensor networks (WSNs). As in scale-free WSNs, a few key nodes possess most connections, requiring them to take excessive message-relay tasks. Due to this reason, the energy of these nodes would be depleted much earlier than other sensor nodes, threatening the lifetime of the entire network. In this paper, we propose a topology upgrading method by referencing the concept of small-world. In our method, we present a novel node centrality metric-Directed Betweeness Centrality (DBC) to locate the key nodes and a network centrality metric- Directed Betweeness Network Entropy (DBNE) to measure the energy balance level of the network. Based on DBNE, we propose a shortcut deploying scheme to promote the energy distribution of the network more uniform. The simulations have shown that our scheme is able to improve the energy balance level of the network significantly.
机译:无标度可以看成是复杂网络理论中影响最大的发现之一,并且已经成功地证明了无标度在构建无线传感器网络(WSN)的容错拓扑结构方面非常有效。与无标度WSN一样,少数关键节点拥有大多数连接,要求它们承担过多的消息中继任务。由于这个原因,这些节点的能量将比其他传感器节点更早地耗尽,从而威胁到整个网络的寿命。在本文中,我们参考小世界的概念提出了一种拓扑升级方法。在我们的方法中,我们提出了一种新颖的节点中心度度量-定向间的中心度(DBC)来定位关键节点,并提出了一种网络中心度度量-定向间的中间度网络熵(DBNE)来测量网络的能量平衡水平。基于DBNE,我们提出了一种捷径部署方案,以促进网络的能量分配更加均匀。仿真表明,我们的方案能够显着提高网络的能量平衡水平。

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