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Optimizing Energy Efficiency for Minimum Latency Broadcast in Low-Duty-Cycle Sensor Networks

机译:在低占空比传感器网络中优化能量效率以实现最小延迟广播

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摘要

Multihop broadcasting in low-duty-cycle Wireless Sensor Networks (WSNs) is a very challenging problem, since every node has its own working schedule. Existing solutions usually use unicast instead of broadcast to forward packets from a node to its neighbors according to their working schedules, which is, however, not energy efficient. In this article, we propose to exploit the broadcast nature of wireless media to further save energy for low-duty-cycle networks, by adopting a novel broadcasting communication model. The key idea is to let some early wake-up nodes postpone their wake-up slots to overhear broadcasting messages from its neighbors. This model utilizes the spatiotemporal locality of broadcast to reduce the total energy consumption, which can be essentially characterized by the total number of broadcasting message transmissions. Based on such model, we aim at minimizing the total number of broadcasting message transmissions of a broadcast for low-duty-cycle WSNs, subject to the constraint that the broadcasting latency is optimal. We prove that it is NP-hard to find the optimal solution, and design an approximation algorithm that can achieve a polylogarithmic approximation ratio. Extensive simulation results show that our algorithm outperforms the traditional solutions in terms of energy efficiency.
机译:低占空比无线传感器网络(WSN)中的多跳广播是一个非常具有挑战性的问题,因为每个节点都有自己的工作时间表。现有解决方案通常使用单播而不是广播来根据节点的工作计划将数据包从节点转发到其邻居,但是这种方法效率不高。在本文中,我们建议通过采用一种新颖的广播通信模型来利用无线媒体的广播性质,进一步为低占空比网络节省能源。关键思想是让一些早期唤醒节点推迟其唤醒时隙,以监听来自其邻居的广播消息。该模型利用广播的时空局部性来减少总能量消耗,这可以通过广播消息传输的总数来基本表征。基于这样的模型,我们的目标是在广播延迟最佳的约束下,将低占空比WSN的广播的广播消息传输总数最小化。我们证明找到最优解是NP难的,并且设计了一种可以实现多对数逼近比的逼近算法。大量的仿真结果表明,我们的算法在能效方面优于传统解决方案。

著录项

  • 来源
    《ACM transactions on sensor networks》 |2015年第4期|57.1-57.31|共31页
  • 作者单位

    Nanjing Univ Posts & Telecommun, Sch Comp Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210023, Jiangsu, Peoples R China|Shanghai Jiao Tong Univ, Shanghai Key Lab Scalable Comp & Syst, Shanghai 200240, Peoples R China;

    Hong Kong Polytech Univ, Internet & Mobile Comp Lab, Kowloon, Hong Kong, Peoples R China;

    SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA;

    Nanjing Univ Posts & Telecommun, Sch Comp Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ Posts & Telecommun, Sch Comp Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China;

    Shanghai Jiao Tong Univ, Shanghai Key Lab Scalable Comp & Syst, Shanghai 200240, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wireless sensor networks; low duty cycle; multihop broadcast; energy efficient; minimum broadcasting latency;

    机译:无线传感器网络;低占空比;多跳广播;节能;最小广播延迟;

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