Uncertain Parameters for Multicast Routing Based on a Fuzzy Number Genetic Algorithm

Author

Chengjun, Yue ; Yuanwei, Jing

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

Volume

1

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

903

Lastpage

907

Abstract

It is impossible for nodes in an actual dynamic network to maintain the global accurate network state information. Therefore, it is unreasonable and inefficient to express the QoS constraints with deterministic values. In this paper, the QoS multicast routing problem is solved by use of the fuzzy number model based on GA. Both imprecision of the network state information and the fuzziness of QoS constraints are taken into account invoking fuzzy set theory. A new fuzzy genetic algorithm for QoS multicast routing is also presented and simulation experiments demonstrate that the algorithm is efficient

Keywords

fuzzy set theory; genetic algorithms; multicast communication; quality of service; telecommunication network routing; uncertain systems; QoS constraints; fuzzy number genetic algorithm; fuzzy set theory; multicast routing; network state information; Constraint theory; Fuzzy set theory; Fuzzy sets; Genetic algorithms; Information science; Maintenance engineering; Multicast algorithms; Routing protocols; Uncertainty; Unicast;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.274

Filename

4021559