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Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
Department of Computer Science and Electronic Engineering, University of Essex, Colchester, CO3 3SQ, UK
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, KSA
* Author to whom correspondence should be addressed.
Received: 30 November 2012; in revised form: 12 March 2013 / Accepted: 30 April 2013 / Published: 30 July 2013
Abstract: In this paper, we introduce the concept of a Large-Scale Intelligent Environment (LSIE) and provide an introduction to the use of bigraphs as a formal method for description and modelling. We then propose our MacroIE model as a solution to the LSIE problem and describe how that model may be implemented to achieve a continuity-of-experience to end users as they travel from place-to-place (a technology we call FollowMe). Our initial experiments with these implementations are presented, providing some valuable insights and promise for future refinement towards real-world deployment.
Keywords: ambient intelligent environments; middleware; formal methods; mobile computing; server architecture; bigraphs
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Cite This Article
MDPI and ACS Style
Whittington, L.; Dooley, J.; Henson, M.; Al-Ghamdi, A.A.-M. Towards Realising FollowMe User Profiles for Macro-Intelligent Environments. Computers 2013, 2, 132-151.
Whittington L, Dooley J, Henson M, Al-Ghamdi AA-M. Towards Realising FollowMe User Profiles for Macro-Intelligent Environments. Computers. 2013; 2(3):132-151.
Whittington, Luke; Dooley, James; Henson, Martin; Al-Ghamdi, Abdullah A.-M. 2013. "Towards Realising FollowMe User Profiles for Macro-Intelligent Environments." Computers 2, no. 3: 132-151.