Abstract
The problem of robust distributed estimation in wireless sensor network (WSN) when few sensor nodes are faulty is addressed here. In WSN, each sensor node collects scalar measurements of some unknown parameters and then estimates the parameter of interest from the data collected across the network. An iterative distributed linear parameter estimated algorithm is proposed here by using diffusion co-operation. Each node updates its information by using the data collected by it and the information received from the neighbours. The mean square error (MSE) of distributed estimation schemes increases whenever any faulty sensor node in the network fails to transmit correct information, which leads to inaccurate estimation. Hence a robust diffusion linear estimation algorithm using Hubber’s cost function is proposed here in order to improve the accuracy of the estimation.
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Panda, M., Khilar, P.M. (2012). Distributed Fault Tolerant Estimation in Wireless Sensor Network Using Robust Diffusion Adaptation. In: Ramanujam, R., Ramaswamy, S. (eds) Distributed Computing and Internet Technology. ICDCIT 2012. Lecture Notes in Computer Science, vol 7154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28073-3_25
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DOI: https://doi.org/10.1007/978-3-642-28073-3_25
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