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引用次数: 1

摘要

基于时间的室内无线定位是当前实时应用领域的最新发展方向。无线节点间的时间同步仍然是无线网络中基于时间的室内定位的主要挑战。造成这一问题的主要原因是在无线网络上使用网络时间协议(NTP)和协调世界时(UTC)等标准时间同步协议的难度和复杂性。此外,无线网络的局限性也限制了采用何种时间同步协议来进行无线时间同步的考虑,如WiFi、LiFi、蓝牙、UWB、Ultrasonic、ZigBee等无线通信技术。一般来说,时间同步方案只有当且仅当能够实现精确的随机延迟模型来估计实际环境影响引起的随机延迟时,才能支持较好的精度。本文提出了一种基于zigbee的混合无线时间同步方法,这是基于时间的室内无线定位的第一步,也是至关重要的一步。为了提供精确的同步精度,将经验方法应用于基于ZigBee的试验台,实现了适当的随机延迟模型。利用从锚点到锚点分组通信中获得的经验数据,利用高斯随机延迟模型估计随机延迟,然后利用最小二乘回归模型提高同步精度。实验评估结果表明,该方法的同步性能得到了显著提高。
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Hybrid Time Synchronization for ZigBee Networks: An Empirical Approach
Time-based wireless indoor localization recently stands as the state-of-the-art situation for the up-to-date real time application areas. Synchronizing time among the wireless nodes may still be the major challenging problem for time- based indoor localization on wireless networks. The main reason of this problem is the difficulty and complexity of using standard time synchronization protocols such as Network Time Protocol (NTP), and Coordinated Universal Time (UTC) on wireless networks. Besides, the limitations of the wireless networks restrict the consideration of which time synchronization protocols should be applied on which wireless communication technologies such as WiFi, LiFi, Bluetooth, UWB, Ultrasonic, ZigBee, etc, for wireless time synchronization. Generally, time synchronization schemes support better accuracy if and only if precise random delay model can be implemented for the estimation of random delay caused by the real environmental impacts. In this paper, a ZigBee-based hybrid wireless time synchronization approach, which is required as the first and vital step for time-based wireless indoor localization, is proposed. In order to provide precise synchronization accuracy of the proposed hybrid approach to be more precise, appropriate random delay model is implemented by applying the empirical approach on ZigBee- based test-bed. By using the empirical data obtained from anchor-to-anchor packet communications, random delay is estimated using Gaussian random delay model and then least square regression model is applied to improve synchronization accuracy. In accordance with the experimental evaluation results, it highlights that synchronization performance of the proposed approach is significantly improved.
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