Admission Control of Video Sessions over Ad Hoc Networks Using Neural Classifiers
Abstract
The paper proposes an adaptive, distributed admission control scheme for the execution of VBR video sessions over ad hoc networks with heterogeneous video and HTTP traffic. The key idea of the proposed scheme is the use of probabilistic radial basis classifiers, which are specialized types of neural networks. Firstly, the admission control function is defined analytically. Afterwards, the neural network that implements the scheme is set up. Lastly, a thorough, comparative performance evaluation through simulation is performed. Results show that the proposed scheme outperforms state of the art admission control algorithms.
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Vassis et al. found probabilistic RBFNN to always converge with a success rate between 77 and 88%.
“Using network throughput and packet generation rates of all nodes prior to starting each session and the average packet delays of those sessions as the training and validation data, respectively, they found probabilistic RBFNN to always converge with a success rate between 77 and 88%.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [452]
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Self-citation
- Authors
- Vassis, D., Kampouraki, A., Belsis, P., & Skourlas, C.
- Affiliations
- Technological Educational Institute of Athens (GR)
- Venue
- 2014 IEEE Military Communications Conference
- Publisher
- IEEE
- Published
- 2014-10
- Pages
- 1015-1020
- OpenAlex
- W1995499870
- Cited by
- 7
- References
- 24
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2018: 1 · 2016: 2
- FWCI
- 0.52
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Military Communications Conference (MILCOM) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Keywords
- admission control, ad hoc networks, variable bit rate video, neural network classifier, distributed admission control, mixed traffic, HTTP traffic, quality of service
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