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Incorporating Energy Heterogeneity into Sensor Network Time Synchronization

机译:将能量异质性纳入传感器网络时间同步

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Time synchronization is one of the most fundamental services for wireless sensor networks. Prior studies have investigated the clock stability due to environmental dynamics. In this paper, we demonstrate by experiment that in spite of the surrounding environment, time synchronization is unavoidably impacted by in-network energy heterogeneity, which may incur up to 30-40 ppm clock uncertainty. We mathematically analyze the root cause of such clock uncertainty and propose a protocol called EATS. Sensor nodes with EATS can intelligently select the best synchronization parents that minimize the negative impact of the energy heterogeneity. The selection is robust to multiple impacting factors in the network and provides fine-grained synchronization accuracy. In addition, nodes can make use of local energy information and further calibrate the clocks. In light of this, the logic time maintained among different nodes is more consistent and the synchronization can be performed with a longer re-synchronization interval and less energy consumption. We implement EATS with TelosB motes and evaluate the effectiveness and efficiency of our design through extensive experiments and simulations.
机译:时间同步是无线传感器网络最基本的服务之一。先前的研究已经研究了由于环境动力学而导致的时钟稳定性。在本文中,我们通过实验证明,尽管周围环境仍然存在,但网络内能量异质性不可避免地会影响时间同步,这可能会导致高达30-40 ppm的时钟不确定性。我们用数学方法分析了这种时钟不确定性的根本原因,并提出了一种称为EATS的协议。具有EATS的传感器节点可以智能地选择最佳同步父节点,以最大程度地减少能量异质性的负面影响。该选择对于网络中的多个影响因素都非常可靠,并提供了细粒度的同步精度。另外,节点可以利用本地能量信息并进一步校准时钟。鉴于此,在不同节点之间保持的逻辑时间更加一致,并且可以以更长的重新同步间隔和更少的能耗执行同步。我们通过TelosB节点实现EATS,并通过广泛的实验和仿真评估我们设计的有效性和效率。

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