Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.274