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Title: A chemistry inspired computing model for enabling context-awareness in pervasive environments
Author: Ikram, Ahsan
ISNI:       0000 0004 2735 3375
Awarding Body: University of the West of England, Bristol
Current Institution: University of the West of England, Bristol
Date of Award: 2012
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In recent years context aware and context based pervasive computing systems have been an active area of research. Awareness in context aware systems has also evolved from autonomous adaptation of interfaces applications and services to interactive awareness where end devices and users have a role in enabling or authoring aware behaviour of an application or a service. Awareness is dependant on the information of surroundings that is seen as 'Context'. The sources of context have grown exponentially in the recent past and with growing device and sensing capabilities will continue to grow. Context and context-based responses as addressed in most of the existing research rely on pre-defining sources of context, types of interactions and methods of interactions that makes them less scalable. Moreover, complex reasoning mechanisms and information processing methods make such system less spontaneous and can therefore face performance issues in dynamic, spontaneous and short-lived pervasive environments. Most existing research keeps the process of managing context and enabling awareness hidden from the users and available only to programmers and application developers. Pervasive context awareness shares a lot of analogies with chemistry and chemical reactions. In this thesis it is proposed that, chemistry inspired computation, which is a lesser explored area of nature inspired computing, shares a lot of metaphors with context aware computing and offers characteristics such as visualisation, linking of data, dynamic and spontaneous reactions and autonomous computation. Therefore, it is argued that evolving a context and interaction model based on the principles of chemistry and chemical reactions will provide valuable insight and solutions to many of these issues. The focus of this thesis is how to derive and design a chemical context and computation model experimentally and formally. The proposed model is tested and analysed by formal encodings and by building a set of simulation and field test tools. Evaluation of the chemistry inspired model suggests that it is scalable, spontaneous and usable to support adaptation and awareness in dynamic short-lived pervasive environments.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available