Wireless Integrated Networked Sensors: Signal Search Engine for Signal Classification
نویسندگان
چکیده
Wireless Integrated Network Sensors (WINS) provide a distributed monitoring approach for battlefield situational awareness, machine condition based maintenance, health care, transportation, and other applications. The WINS architecture is based on compact, intelligent, networked low-power sensor nodes. WINS operation relies on efficient system design and low power event classification with resulting applications. Efficient system design with power constraints facilitate scalability for a distributed sensor network. Low power design must accommodate signal processing and event classification from multipletype of sensed signals. This paper presents a flexible, and scalable method of signal classification designed for WINS. Signal Search Engine (SSE) with the time domain classification method relies on template matching using templates derived directly from field measurements. An enhanced hybrid-SSE with the use of ‘wavelet’ method classification is also described. Results obtained from the time domain signal classification scheme and the ‘wavelet’ method give error rates of less than 15% with minimal signal pre-processing.
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تاریخ انتشار 2005