Proactive Context-Aware Middleware

Proactive Context-Aware Middleware

Karen Lee (University of Ulster, Northern Ireland), Tom Lunney (University of Ulster, Northern Ireland), Kevin Curran (University of Ulster, Northern Ireland) and Jose Santos (University of Ulster, Northern Ireland)
DOI: 10.4018/978-1-60960-549-0.ch021
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Abstract

Advancements in sensor technology, wireless communications and information technology has enabled the success of new types of dynamic computing systems. However designing systems which are flexible and can adapt to the changing needs of the user remains a major research challenge. Flexibility and adaptability are fundamental requirements for Ambient Intelligent (AmI) systems. The complexity involved in designing applications and devices which change and adapt their behaviour automatically based on their context or situation is well recognised. Providing technology which meets the changing needs of the user is heavily reliant on the appropriate infrastructure design. This work outlines the development of an Ambient Middleware framework for Context-Aware systems. The framework will integrate with sensor technologies, intelligent algorithms and the semantic web.
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Ambient Intelligence And Context

The following sections provide a background to the research by reviewing literature relevant to the focus of our research.

Ambient Intelligence

Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and the environment. The technology operates in the background while computing capabilities are everywhere connected and always available (Weiser 1991). This intelligent environment is aware of the specific characteristics of human presence and preferences and can adapt context parameters such as location, proximity, light, temperature and contextual information in accordance with people’s wishes and needs. The report published by IST Advisory Group states that Ambient Intelligence is all about ‘human-centred computing’, user friendliness, user empowerment and the support of human interaction (ISTAG, 2001; Ducatel et al, 2001). Key technological requirements identified for AmI with the year 2010 in the horizon are:

  • very unobtrusive hardware

  • a seamless mobile/fixed communication infrastructure

  • dynamic and massively distributed device networks

  • natural feeling human interfaces

  • dependability and security

Ambient Intelligence offers many new possibilities in providing convenience for the user and acting as an invisible interface for driving the behaviour of the device or system.

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