Novel distributed call admission control solution based on machine learning approach

Bashar, Abul, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132, McClean, Sally, Scotney, Bryan and Nauck, Detlef (2011) Novel distributed call admission control solution based on machine learning approach. In: Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. The Institute of Electrical and Electronics Engineers (IEEE), IRL, pp. 871-881. ISBN 978-1-4244-9219-0

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Abstract

The advent of IP-based Next Generation Network (NGN) and its guaranteed QoS promise has attracted significant attention from both service providers and subscribers. However, to fulfil the said promise, there is a need to provide effective Call Admission Control (CAC) based QoS provisioning solutions which are autonomous, intelligent and scalable.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025) Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory (former - to 2025) Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Pure Connector
Date Deposited:	24 Sep 2016 01:07
Last Modified:	18 Jun 2026 21:53
URI:	https://ueaeprints.uea.ac.uk/id/eprint/60520
DOI:	10.1109/INM.2011.5990495

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