Semantic Information Fusion for Coordinated Signal Processing in Mobile Sensor Networks

摘要: Distributed cognition of dynamic processes is commonly observed in mobile groups animates like schools fish, hunting lions, or human teams for sports military maneuvers. This paper presents methods distributed using an ad hoc network microsensors to detect, identify and track targets noisy environments. We develop off-line algorithms aggregating the most appropriate knowledge abstractions into semantic information, which then used on-line fusion relevant attributes by local clusters sensor network. Local analysis time series data yields aggregated exchanged across nodes higher level cognition. eliminates need exchanging high volumes signal and, thus reduces bandwidth energy requirements battery powered microsensors.