Computers 2013, 2(3), 132-151; doi:10.3390/computers2030132

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

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Received: 30 November 2012; in revised form: 12 March 2013 / Accepted: 30 April 2013 / Published: 30 July 2013
(This article belongs to the Special Issue Large Scale Intelligent Environments)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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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.

AMA Style

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.

Chicago/Turabian Style

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.

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