WSN implementation of DFD algorithm on SOFREL S550/WAVENIS unit

M. Saihi, B. Boussaid, A. Zouinkhi, M. Abdelkrim
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引用次数: 2

Abstract

Wireless Sensor Networks (WSN) can experience faults during deployment either due to its hardware malfunctioning or software failure or even harsh environmental factors. This results into presence of anomalies in their time-series collected data. So, these anomalies demand for reliable detection strategies to support in long term and/or in large scale WSN deployments. These data of physical variables are transmitted continuously to a repository for further processing of information as data stream. centralized fault detection based on centralized approach has become an emerging technology for building scalable and energy balanced applications for WSN. In our work, we try to implement the Distributed Fault Detection (DFD) algorithm in a central unit named SOFREL S550 which represent the base station or the sink node and detects the suspicious nodes by exchanging heartbeat messages in active manner. By analyzing the collected heartbeat information, the unit finally identifies failed nodes according to a pre-defined failure detection rule.
WSN DFD算法在SOFREL S550/WAVENIS单元上的实现
无线传感器网络(WSN)在部署过程中可能会由于硬件故障、软件故障或恶劣环境因素而出现故障。这导致在他们的时间序列收集的数据中存在异常。因此,这些异常需要可靠的检测策略来支持长期和/或大规模的WSN部署。这些物理变量的数据作为数据流连续地传输到存储库,以便对信息进行进一步处理。基于集中式方法的集中式故障检测已成为构建可扩展、能量均衡的无线传感器网络应用的一种新兴技术。在我们的工作中,我们尝试在一个代表基站或汇聚节点的中央单元SOFREL S550上实现分布式故障检测(DFD)算法,并通过主动交换心跳消息来检测可疑节点。单元通过分析采集到的心跳信息,最终根据预定义的故障检测规则识别出故障节点。
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