An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network

Mohammad Sh. Daoud, Aladdin Ayesh, Mustafa Al-Fayoumi, Adrian A. Hopgood

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.

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Paper Citation


in Harvard Style

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, pages 419-424. DOI: 10.5220/0004201004190424


in Bibtex Style

@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},
}


in EndNote Style

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