无线传感器网络中本地时钟间相对偏移和漂移的估计

Ayako Arao, H. Higaki
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摘要

在无线传感器网络中,每个无线传感器节点以其观测时间记录其观测区域内发生的事件。每个无线传感器节点都有自己的本地时钟,其漂移和偏移量通常不同于其他节点。此外,由于CSMA/CA和RTS/CTS为避免碰撞而控制,相邻无线传感器节点之间的消息传输延迟难以估计,因此无线传感器节点难以调整本地时钟的漂移和偏移量。因此,难以实现不同无线传感器节点观测到的事件之间的顺序和间隔。此外,即使多个无线传感器节点观测到相同的事件,其记录的观测时间也可能不同,多个无线传感器节点对同一事件的两次观测记录并不总是被识别为同一事件的记录。基于相邻无线传感器节点观测区域重叠的假设,利用相邻无线传感器节点共同观测事件的观测记录,提出了一种估算相邻无线传感器节点局部时钟相对漂移和偏移量的新方法。在这种情况下,每个传感器节点只检测事件的发生,而无法获得事件发生的位置。因此,需要检测相邻无线传感器节点之间共同观察到的事件。该方法采用一种启发式方法,将相邻无线传感器节点中间隔相同的多个观测记录估计为共同观测事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of relative offset and drift between local clocks in wireless sensor networks
In wireless sensor networks, each wireless sensor node records events occurred in its observation area with their observation time. Each wireless sensor node possesses its own local clock whose drift and offset are generally different from the others. In addition, it is difficult for the wireless sensor nodes to adjust drifts and offsets of their local clocks since transmission delays of messages between neighbor wireless sensor nodes are difficult to estimate due to CSMA/CA and RTS/CTS control for collision avoidance. Thus, it is difficult to achieve an order and an interval among events observed by different wireless sensor nodes. Moreover, even if multiple wireless sensor nodes observe the same events, their recorded observation times might be different and two observation records for the same event by multiple wireless sensor nodes are not always recognized as the records for the same event. Based on an assumption that observation areas of neighbor wireless sensor nodes are overlapped, by using observation records of the commonly observed events by neighbor wireless sensor nodes, a novel method to estimate the relative drift and offset between local clocks of the neighbor wireless sensor nodes. Here, each sensor node only detects the occurrences of events and cannot achieve the locations where the events occur. Hence, commonly observed events between neighbor wireless sensor nodes are required to be detected. Our proposed method applies a heuristic that multiple observation records in neighbor wireless sensor nodes whose intervals are the same are estimated to be commonly observed events.
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