Finding EMO: An Editable Model Object Simulation Framework for the Deployment and Evaluation of Pervasive Computing Applications

Newbury, Paul, Watten, Phil, Hamdhaidari, Moe, Martin, N, Jackson, Ben and Lister, P (2006) Finding EMO: An Editable Model Object Simulation Framework for the Deployment and Evaluation of Pervasive Computing Applications. In: Proceedings of the 2006 OR Society Simulation Workshop, Ashorne Hill Conference Centre, Birmingham, 28-29 March 2006, Birmingham, UK.

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Abstract

Large-scale pervasive computing environments are dynamically created from interconnecting devices and services, often during run-time. Pervasive computing applications within this environment require a context comprising environmental factors that should also be present during the development cycle. Frameworks and protocols to support dynamic scenarios are being developed which address low-level issues such as communication, handshaking and quality of service. Physically constructed pervasive environments have been successful but at great cost, limiting them to large organisations. This paper proposes a real-time component-based simulation framework for the deployment and evaluation of pervasive computing devices and protocols in a virtual environment based on the Editable Model Object (EMO). A high-level overview of the framework is covered, including details of the implementation design. The use of virtual reality allows large-scale applications to be developed with limited resources, whilst maintaining a realistic user experience.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Originality: Describes a distributed, extensible simulation and modelling system for pervasive computing environments. Rigour: New paradigm in modelling of this kind, enables object orientation and abstraction of hardware, software and communications to enable development of protocols and services. Significance: Following on from existing work, this furthers a new area in high-level electronics modelling. It enables research in the area that was previously limited to the larger players. This is the basis for at least two PhD thesis and grant applications. Outlet/citations: 3rd Simulation Workshop (SW06) Held in cooperation with the Association for Computing Machinery's Special Interest Group for Simulation (ACM SIGSIM) and the INFORMS Simulation Society
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Paul Newbury
Date Deposited: 06 Feb 2012 20:29
Last Modified: 09 Mar 2016 15:07
URI: http://sro.sussex.ac.uk/id/eprint/26085
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