DocumentCode :
3069063
Title :
Distribution of constrained Steiner tree computation in shortest-delay networks
Author :
Novak, Roman ; Rugelj, Joze
Author_Institution :
Jozef Stefan Inst., Ljubljana Univ., Slovenia
Volume :
2
fYear :
1996
fDate :
13-16 May 1996
Firstpage :
959
Abstract :
We have studied a real-time multicast routing as a delay constrained Steiner tree problem (CST) in shortest-delay networks where each node has only a limited knowledge about the network. The proposed distributed algorithm for the construction of delay-bounded multicast trees is based on the “cheapest insertion” heuristic, a well-known solution to the conventional Steiner tree problem (ST) in graphs. We have adapted the cheapest insertion heuristic for the constraint version of the Steiner tree problem by introducing a method for suboptimal constrained shortest path computation. We have achieved an effective distribution of the proposed constrained Steiner tree computation using the table passing mechanism, instead of the frequently used “waving” technique. Performance estimations show a good average case behavior as regards the cost and time complexity
Keywords :
computational complexity; delays; distributed algorithms; telecommunication channels; telecommunication network routing; trees (mathematics); cheapest insertion heuristic; cost; delay bounded multicast trees; delay constrained Steiner tree; distributed algorithm; graphs; multimedia communication; network node; performance estimation; real-time multicast routing; shortest-delay networks; suboptimal constrained shortest path; table passing mechanism; time complexity; Computer networks; Costs; Delay; Digital communication; Distributed computing; Electronic mail; Intelligent networks; Multicast algorithms; Routing; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
Type :
conf
DOI :
10.1109/MELCON.1996.551368
Filename :
551368
Link To Document :
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