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Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks

机译:无线传感器网络中基于最佳中继节点布置的恢复策略

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In wireless sensor networks (WSNs), connecting disjoint segments is significant for network restoration, especially in some mission critical applications. However, the variability of distances between disjoint segments has tremendous influence on relay nodes deployment. In fact, finding the optimal solution for connecting disjoint segments in terms of the number and positions of relay nodes is NP-hard. To address this issue, plenty of heuristics, such as STP-MSP (Cheng et al., 2008), MST-1tRN (Lloyd et al., 2007), and CORP (Lee and Younis, 2010) are deeply pursued. In this paper, we propose a distributed restoration algorithm based on optimal relay node placement (simply, ORNP). It aims at federating separated segments by populating the minimum number of relay nodes in a WSN that has suffered a significant damage. In addition, both of complexity and upper bound of the relay count for ORNP are explored. The simulation results show that ORNP performs better than STP-MSP, MST-1tRN, and CORP in terms of relay count and the connectivity of resulting topology.
机译:在无线传感器网络(WSN)中,连接不相交的段对于网络恢复非常重要,尤其是在某些关键任务应用中。然而,不相交的段之间的距离的变化对中继节点的部署有很大的影响。实际上,就中继节点的数量和位置而言找到用于连接不相交段的最佳解决方案是NP-难的。为了解决这个问题,人们广泛追求诸如STP-MSP(Cheng等,2008),MST-1tRN(Lloyd等,2007)和CORP(Lee和Younis,2010)之类的启发式方法。在本文中,我们提出了一种基于最佳中继节点放置(简称ORNP)的分布式恢复算法。它旨在通过在遭受严重破坏的WSN中填充最少数量的中继节点来联合分离的网段。此外,还探讨了ORNP的复杂性和中继计数的上限。仿真结果表明,ORNP在中继数和生成的拓扑的连通性方面优于STP-MSP,MST-1tRN和CORP。

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