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Topology shaping for time synchronization in wireless sensor networks

机译:无线传感器网络中时间同步的拓扑整形

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Time synchronization plays an important role in wireless sensor networks (WSNs). Due to the unique features of WSNs such as remote deployment, low-cost hardware, and restrictive energy supply, accurate and robust time synchronization is still a challenging task. Many approaches have been proposed to improve the performance and efficiency of time synchronization. Existing schemes, however, do not pay enough attention to the impacts of varying network topology properties, including network diameter, degree distribution, and the like. They can experience unexpected performance degradation in many real systems. To address these issues, we present a novel approach, which tries to improve the performance of existing time synchronization algorithms by introducing a virtual overlay. We propose an integrated model, called topo-refiner, which encodes the impact of different network topology features to the precision and robustness of time synchronization. Also, we design a novel optimization algorithm to build a virtual overlay from the underlying communication network. Our approach is orthogonal to existing clock synchronization methods, and can improve their performance by operating these methods atop the virtual layer. Finally, in order to verify the effectiveness of our approach, we conduct extensive simulations on synthetic and real system traces, as well as testbed experiments. Results show that topo-refiner is practical, and quickly adapts to varying time synchronization accuracy requirements for applications in WSNs.
机译:时间同步在无线传感器网络(WSN)中起着重要作用。由于WSN的独特功能(例如远程部署,低成本硬件和限制性能源供应),准确而可靠的时间同步仍然是一项艰巨的任务。已经提出了许多方法来改善时间同步的性能和效率。但是,现有方案没有对变化的网络拓扑属性(包括网络直径,程度分布等)的影响给予足够的关注。他们可能会在许多实际系统中遇到意外的性能下降。为了解决这些问题,我们提出了一种新颖的方法,该方法试图通过引入虚拟覆盖来提高现有时间同步算法的性能。我们提出了一个称为topo-refiner的集成模型,该模型编码了不同网络拓扑功能对时间同步的精度和健壮性的影响。此外,我们设计了一种新颖的优化算法,可从基础通信网络构建虚拟覆盖。我们的方法与现有的时钟同步方法正交,并且可以通过在虚拟层之上操作这些方法来提高其性能。最后,为了验证我们方法的有效性,我们对合成和真实系统轨迹以及测试平台实验进行了广泛的仿真。结果表明,topo-refiner是实用的,并且可以快速适应WSN中不同时间同步精度的要求。

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