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Distributed network intelligence : a prerequisite for adaptive & personalised service delivery
Date Issued
2009-03
Date Available
2009-05-26T13:24:00Z
Abstract
Mobile computing is undoubtedly one of the predominant computer usage paradigms in operation today. The implications of what might be cautiously termed a usage paradigm shift have still not crystallised fully, either for society, or those envisaging a new raft of applications and services for mobile users. However, fundamental to the current and future success of mobile computing are mobile telecommunications networks. Such networks have been a success story in their own right in recent years, both as traditional voice carriers and, increasingly importantly, as a conduit of mobile data. The potential for new mobile data applications is immense, but, crucially, this potential is severely compromised by two factors inherent in mobile computing: limited bandwidth and computationally restricted devices. Hence, the academic and commercial interest in harnessing intelligent techniques as a means of mitigating these concerns, and ensuring the user experience is a satisfactory one. In this paper, the broad area of intelligence in telecommunications networks is examined, and issues relating to the deployment of intelligent technologies are explored. In particular, the potential of intelligent agents is identified as a viable mechanism for realising a full end-to-end deployment of intelligence throughout the network, including possibly the most crucial component: the end user's device. As an illustration of the viability of this approach, a brief description of a mobile blogging application is presented.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Springer
Journal
Information System Frontiers
Volume
11
Issue
1
Start Page
61
End Page
73
Copyright (Published Version)
Springer Science + Business Media, LLC 2008
Subject – LCSH
Mobile computing
Mobile communication systems
Intelligent agents (Computer software)
Context-aware computing
Web versions
Language
English
Status of Item
Peer reviewed
ISSN
1387-3326 (Print)
1572-9419 (Online)
This item is made available under a Creative Commons License
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ISF.pdf
Size
316.52 KB
Format
Adobe PDF
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