|Stochastic Systems Group|
Professor Pramod Varshney
EECS, Syracuse University
One of the important applications of wireless sensor networks is collaborative object/event detection and classification. This application requires a fresh look at distributed detection due to the size of networks as well as the presence of unreliable channels and sensors. This talk will focus on three aspects of detection for wireless sensor networks. First, a methodology for the evaluation of detection performance for large sensor networks will be presented. Then, a new paradigm for channel aware decision fusion will be discussed. This takes into account the unreliable channels found in realistic wireless sensor networks. Finally, a new method for fault-tolerant classification based on coding theory principles will be presented.
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