DocumentCode :
533249
Title :
Research of network coding resources optimization based on ant colony optimization
Author :
Li, Jinkai ; Pan, Yun
Author_Institution :
Dept. of Comput., Commun. Univ. of China, Beijing, China
Volume :
11
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Although network coding can make network achieve the maximum multicast rate, it always brings additional overheads. It is necessary to minimize unnecessary overhead while achieving the desired throughput in a multicast scenario. Current solutions are mostly based on genetic algorithms that aim to reach the least number of coding links. The drawback of the methodology of genetic algorithms is that the solution space is very large and this in turn leads to inefficiency on the convergence speed. Furthermore, most genetic algorithms fail to consider the link cost which it is very important in some applications. This paper is based on ant colony algorithms to minimize link cost, and then consider minimizing the number of coding nodes.
Keywords :
genetic algorithms; network coding; ant colony optimization; coding links; genetic algorithms; multicast rate; network coding resources optimization; unnecessary overhead; Ant colony optimization; Encoding; Modeling; Network coding; Network topology; Optimization; Topology; ant colony optimization; multicast; network coding; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5623246
Filename :
5623246
Link To Document :
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