Situation-Aware Adaptive Processing (SAAP) of Data Streams

Abstract

The growth and proliferation of technologies in the field of sensornetworking and mobile computing have led to the emergence of diverseapplications that process and analyze sensory data on mobile devicessuch as a smart phone. However, the real power to make a significantimpact on the area of developing these applications rests not merely ondeploying the technologies, but on the ability to perform real-time,intelligent analysis of the data streams that are generated by thevarious sensors. In this chapter, we present a novel approach forSituation-Aware Adaptive Processing (SAAP) of data streams for pervasivecomputing environments. This approach uses fuzzy logic principles formodelling and reasoning about uncertain situations, and performs gradualadaptation of parameters of data stream mining algorithms in real-timeaccording to availability of resources and the occurring situations.