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Low latency and energy efficient routing tree for wireless sensor networks with multiple mobile sinks

机译:具有多个移动接收器的无线传感器网络的低延迟和高能效路由树

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摘要

We propose the minimum Wiener index spanning tree (MWST) as a routing topology that is suitable for sensor networks with multiple mobile base nodes. However, it was proved that finding a spanning tree with the minimum Wiener index from a weighted graph is NP-hard. To address this problem and analyze the effectiveness of the MWST as the routing tree on sensor networks with muitipie mobile base nodes, we designed two algorithms: a branch and bound algorithm for smail-scaie wireless sensor networks and a simulated annealing algorithm for large-scale wireless sensor networks. The simulation results show that MWST outperforms the minimum spanning tree (MST), one of the representative spanning trees used in many routing protocols for sensor networks, in terms of energy efficiency and packet delay.
机译:我们提出了最小维纳索引生成树(MWST)作为路由拓扑,适用于具有多个移动基础节点的传感器网络。然而,事实证明,从加权图中找到维纳指数最小的生成树是NP-难的。为了解决此问题并分析MWST作为带有多核移动基础节点的传感器网络上的路由树的有效性,我们设计了两种算法:smail-scaie无线传感器网络的分支定界算法和大规模的模拟退火算法。无线传感器网络。仿真结果表明,就能量效率和数据包延迟而言,MWST优于最小生成树(MST),后者是许多传感器网络路由协议中使用的代表性生成树之一。

著录项

  • 来源
    《Journal of network and computer applications》 |2013年第1期|156-166|共11页
  • 作者单位

    Cyber Security-Convergence Research Laboratory, Electronics and Telecommunications Research Institute, 218 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea;

    Cenomics Division, National Academy of Agricultural Science, 150 Suin-ro, Seodun-dong Cwonseon-gu, Suwon 441-707, Republic of Korea;

    Division of Fusion and Convergence of Mathematical Sciences, National Institute for Mathematical Sciences, KT Daedeok 2 Research Center, 463-1 Jeonmin-dong, Yuseong-gu, Daejeon 305-811, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wireless sensor networks; mobile sink; routing tree; wiener index; branch and bound algorithm; simulated annealing;

    机译:无线传感器网络;移动水槽路由树;维也纳指数分支定界算法;模拟退火;

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