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 (EA-CORA) which is based on developed ant colony Optimization.
| Original language | English |
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| Title of host publication | ICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence |
| Pages | 419-424 |
| Number of pages | 6 |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 5th International Conference on Agents and Artificial Intelligence, ICAART 2013 - Barcelona, Spain Duration: 15 Feb 2013 → 18 Feb 2013 |
Conference
| Conference | 5th International Conference on Agents and Artificial Intelligence, ICAART 2013 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 15/02/13 → 18/02/13 |
Keywords
- Ant Colony Optimization
- Cellular Network
- LBSs
- Mobility Prediction
- UMTS