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== Abstract == | == Abstract == | ||
| − | International audience; This paper presents our approach integrating a high level of intelligence within telecommunication networks. Artificial intelligence has proved its efficiency in resolving complex issues in different fields like air traffic control, robotics, and medical diagnosis. However its usage in telecommunication networks is still very moderated. The main objectives of our framework is to encourage the deployment of techniques characterized by a high level of intelligence | + | International audience; This paper presents our approach integrating a high level of intelligence within telecommunication networks. Artificial intelligence has proved its efficiency in resolving complex issues in different fields like air traffic control, robotics, and medical diagnosis. However its usage in telecommunication networks is still very moderated. The main objectives of our framework is to encourage the deployment of techniques characterized by a high level of intelligence â inspired from the artificial intelligence domain in networking. For this reason, we build an extension, with intelligent capabilities, to the J-Sim simulation environment. This extension proposes an intelligent package having the essential entities required for simulating intelligent features. Using this intelligent package and the abstract node model (INET) proposed by J-Sim for network simulations, it will be possible to test the efficiency of integrating intelligent techniques in networking. |
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* [https://link.springer.com/content/pdf/10.1007%2F978-3-540-30179-0_13.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-30179-0_13.pdf] | * [https://link.springer.com/content/pdf/10.1007%2F978-3-540-30179-0_13.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-30179-0_13.pdf] | ||
| − | * [http | + | * [http://link.springer.com/content/pdf/10.1007/978-3-540-30179-0_13.pdf http://link.springer.com/content/pdf/10.1007/978-3-540-30179-0_13.pdf], |
| + | : [http://dx.doi.org/10.1007/978-3-540-30179-0_13 http://dx.doi.org/10.1007/978-3-540-30179-0_13] | ||
| − | * [ | + | * [https://dblp.uni-trier.de/db/conf/intellcomm/intellcomm2004.html#MeskaouiGK04 https://dblp.uni-trier.de/db/conf/intellcomm/intellcomm2004.html#MeskaouiGK04], |
| + | : [https://link.springer.com/chapter/10.1007/978-3-540-30179-0_13 https://link.springer.com/chapter/10.1007/978-3-540-30179-0_13], | ||
| + | : [https://academic.microsoft.com/#/detail/2156904546 https://academic.microsoft.com/#/detail/2156904546] | ||
* [ ] | * [ ] | ||
Revision as of 13:24, 21 January 2021
Abstract
International audience; This paper presents our approach integrating a high level of intelligence within telecommunication networks. Artificial intelligence has proved its efficiency in resolving complex issues in different fields like air traffic control, robotics, and medical diagnosis. However its usage in telecommunication networks is still very moderated. The main objectives of our framework is to encourage the deployment of techniques characterized by a high level of intelligence â inspired from the artificial intelligence domain in networking. For this reason, we build an extension, with intelligent capabilities, to the J-Sim simulation environment. This extension proposes an intelligent package having the essential entities required for simulating intelligent features. Using this intelligent package and the abstract node model (INET) proposed by J-Sim for network simulations, it will be possible to test the efficiency of integrating intelligent techniques in networking.
Original document
The different versions of the original document can be found in:
- https://link.springer.com/chapter/10.1007/978-3-540-30179-0_13,
- https://academic.microsoft.com/#/detail/2156904546
- [ ]
Document information
Published on 01/01/2004
Volume 2004, 2004
DOI: 10.1007/978-3-540-30179-0_13
Licence: CC BY-NC-SA license
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