Anuja Meetoo and Kavi K. Khedo
Context-awareness, architecture, middleware, localization, sensing
It is of utmost importance for the new generation of applications to be context-aware. Yet, context is poorly utilized. Building context-aware applications is currently complex and time consuming mainly due to a lack of architectural support. This paper presents SAIsense, a novel Scalable, Adaptive and Intelligent context-aware architecture that supports the development and evolution of context- aware applications. It enables applications to obtain the required context information without having to worry about how the context was sensed, performs context interpretation, storage and dissemi- nation, and handles decision-making when new context is acquired. SAIsense is generic and has been able to support two completely diļ¬erent context-aware applications, namely a child tracking service and a parking service for a context-aware hotel. In addition to fully supporting all the requirements of a context-aware architecture, it also aids in developing more scalable and interoperable context- aware applications through the use of ontologies and provides an improved Quality of Context for location through sensing fusion. Per se, SAIsense also supports seamless indoor and outdoor location tracking.
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