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A novel approach for monitoring Wireless Sensor Network performance by tracking node operational deviation

机译:一种通过跟踪节点操作偏差监控无线传感器网络性能的新方法

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recently, many potential fields, such as the military, increasingly depend on Wireless Sensor Networks (WSN) for monitoring and controlling their different application processes as a result of the network special characteristics. Although these characteristics reduce the cost of network manufacture and deployment, they nevertheless add new challenges in terms of network operation deviation from norm. Unfortunately, this deviation, in some cases, badly affects the network's collected data and makes it meaningless. This paper proposes a distributed monitoring algorithm that enables each node in a large scale WSN to track the operation of its neighbour nodes and report any deviation that is expected to effect network functionality. The proposed algorithm's functionality was tested on a Berkeley (Crossbow) Mica2 sensor Motes test bed with the TinyOS ‘Surge’ multihop application. The results of the conducted experiments show that the algorithm achieves a high level of detection reliability.
机译:最近,许多潜在的领域,例如军队,越来越依赖于无线传感器网络(WSN),以监视和控制其不同的应用程序过程,因为网络特殊特征。虽然这些特性降低了网络制造和部署的成本,但它们在网络运行偏差方面增加了新的挑战。不幸的是,这种偏差在某些情况下,严重影响网络的收集数据并使其毫无意义。本文提出了一种分布式监控算法,其使大规模WSN中的每个节点能够跟踪其邻居节点的操作并报告预期实现网络功能的任何偏差。通过Tinyos的浪涌'多彩光应用,伯克利(Crossbow)MICA2传感器电动机测试床上测试了所提出的算法的功能。进行实验的结果表明该算法达到了高水平的检测可靠性。

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