抄録
Real-time communication networks are designed mainly to support multimedia applications, especially the interactive ones, which require a guarantee of Quality of Service (QoS). Moreover, Multicasting is needed as there are usually more than two peers who communicate together using multimedia applications. As for the routing, network has to find an optimum (least cost) multicast route, that has enough resources to provide or guarantee the required QoS. This problem is called QoS constrained multicast routing and was proved to be NP-complete problem. In contrast to the existing heuristic approaches, in this paper we propose a modified version of Hopfield neural network model to solve QoS (delay) constrained multicast routing. By the massive parallel computations of neural network, it can find near optimal multicast route very fast, when implemented by hardware. Simulation results show that the proposed model has the performance near to optimal solution and comparable to existing heuristics.
本文言語 | English |
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ホスト出版物のタイトル | International Conference on Network Protocols |
Place of Publication | Los Alamitos, CA, United States |
出版社 | IEEE |
ページ | 332-339 |
ページ数 | 8 |
出版ステータス | Published - 1995 |
イベント | Proceedings of the 1995 International Conference on Network Protocols - Tokyo, Jpn 継続期間: 1995 11月 7 → 1995 11月 10 |
Other
Other | Proceedings of the 1995 International Conference on Network Protocols |
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City | Tokyo, Jpn |
Period | 95/11/7 → 95/11/10 |
ASJC Scopus subject areas
- ソフトウェア