研究进展:大型传感器网络中的资源感知故障定位

Richard Mietz, K. Römer
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引用次数: 3

摘要

传感器网络暴露在恶劣环境中,可能导致单个节点和通信链路故障,从而影响整个网络。在空间和时间上定位问题的原因需要从网络中收集诊断数据。然而,由于资源和能源的限制,不可能连续地从所有节点收集详细的诊断数据。因此,我们提出了一种增量方法,首先将数据记录到闪存中,然后用户可以提出一系列诊断查询,范围越来越小,细节水平越来越高,以查明问题的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work in Progress: Resourse-Aware Fault Localization in Large Sensor Networks
Sensor networks are exposed to hostile environments that may cause failures of single nodes and communication links which affect the whole network. Localizing the cause of the problem in space and time requires to collect diagnostic data from the network. Due to resource and energy constraints, however, it is not possible to continuously collect detailed diagnostic data from all nodes. We therefore propose an incremental approach where first data is logged to flash memory and later the user can pose a sequence of diagnostic queries with decreasing scope and increasing level of detail to pinpoint the cause of the problem.
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