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Bayesian Fault-Tolerant Detection in WSNs by Ziaullah Khan is a document available to read on EtoBox.

What is Bayesian Fault-Tolerant Detection in WSNs about?

The document proposes a distributed Bayesian algorithm for fault-tolerant event region detection in wireless sensor networks. It aims to detect regions where sensor measurements indicate interesting environmental features, while accounting for the possibility of faulty sensors. The algorithm exploits the fact that sensor faults are likely uncorrelated, whereas environmental conditions tend to be spatially correlated. Simulation results show the algorithm can correct 85-95% of sensor faults even when up to 1

Author

Ziaullah Khan

Language

EN