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Ambient Middleware for Context Awareness

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Lee, Karen, Lunney, Tom, Curran, Kevin and Santos, Jose (2009) Ambient Middleware for Context Awareness. International Journal of Ambient Computing and Intelligence, 1 (3). pp. 66-78. [Journal article]

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URL: http://www.igi-global.com/journals/details.asp?id=7825

Abstract

Recent advances in wireless networking technologies and the growing success of mobile computing devices are enabling new classes of applications whichpresent challenging problems for designers. Distributed applications running in a mobile environment are often subject to widely varying qualities of servicefrom the underlying infrastructure. The objective of the work outlined in this research plan is the development of an Ambient Middleware framework forContext-awareness wireless devices which will offer new opportunities for application developers and end users convenience. Context and context-awarenesshave been central issues in Ambient Intelligent (AmI) research for the last decade. Ambient Intelligent systems and applications represent extremely complexand heterogeneous distributed systems, composed of hardware and software components and the need for middleware to seamlessly bind these componentstogether is well recognised. Research shows that existing middleware solutions need to evolve, thus permitting the dissemination of omnipresent attributes withinthe Ubiquitous and Pervasive computing environments of today. To determine the effectiveness of this middleware framework, a cloud computing basedAmbient Intelligent application will be developed which will integrate with research in the areas of Swarm Intelligence, Bayesian networks and the semanticweb.

Item Type:Journal article
Keywords:Ambient Intelligence (AmI), Ubiquitous Computing, Pervasive Computing, context-aware, location-aware, middleware, mobile, social networks, Bayesian Networks, Swarm Intelligence, semantic web technology.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
ID Code:8988
Deposited By:Dr Tom Lunney
Deposited On:19 Feb 2010 13:49
Last Modified:19 Feb 2010 13:49

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