Efficient tracing of failed nodes in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
A Cellular Approach to Fault Detection and Recovery in Wireless Sensor Networks
SENSORCOMM '09 Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications
FIND: faulty node detection for wireless sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Diffusion LMS strategies for distributed estimation
IEEE Transactions on Signal Processing
IEEE Communications Magazine
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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.