Wireless Sensor Network Modeling Using Modified Recurrent Neural Networks: Application to Fault Detection


This paper presents a dynamic model of wireless sensor networks (WSNs) and its application to sensor node fault detection. Recurrent neural networks (NNs) are used to model a sensor node, the node's dynamics, and interconnections with other sensor network nodes. An NN modeling approach is used for sensor node identification and fault detection in WSNs. The… (More)
DOI: 10.1109/TIM.2007.913803


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