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Authors: Mohammad Sh. Daoud 1 ; Aladdin Ayesh 1 ; Mustafa Al-Fayoumi 2 and Adrian A. Hopgood 3

Affiliations: 1 De Montfort University, United Kingdom ; 2 Salman bin Abdulaziz University, Saudi Arabia ; 3 Sheffield Hallam University, United Kingdom

ISBN: 978-989-8565-39-6

ISSN: 2184-433X

Keyword(s): Ant Colony Optimization, LBSs, Mobility Prediction, Cellular Network, UMTS.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Hybrid Intelligent Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Mobile Agents ; Multi-Agent Systems ; Self Organizing Systems ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Cellular communication networks have become medium to provide various services. Most of the services provided are based on the users’ locations, as in location-based services (LBSs); these services include both common voice services as well as multimedia and integrated data services. Used techniques mostly suffered from complex computation, accuracy rate regression and insufficient accuracy. Nevertheless, in the cell side, reducing the complexity cost and preventing the prediction algorithm to perform in two closer time slot. That’s why using routing area should be able to avoid the cell side problems. This paper discusses An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network (EACORA) which is based on developed ant colony Optimization.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Sh. Daoud, M.; Ayesh, A.; Al-Fayoumi, M. and Hopgood, A. (2013). An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network.In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, ISSN 2184-433X, pages 419-424. DOI: 10.5220/0004201004190424

@conference{icaart13,
author={Mohammad Sh. Daoud. and Aladdin Ayesh. and Mustafa Al{-}Fayoumi. and Adrian A. Hopgood.},
title={An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={419-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004201004190424},
isbn={978-989-8565-39-6},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network
SN - 978-989-8565-39-6
AU - Sh. Daoud, M.
AU - Ayesh, A.
AU - Al-Fayoumi, M.
AU - Hopgood, A.
PY - 2013
SP - 419
EP - 424
DO - 10.5220/0004201004190424

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