Routing in dynamic network based on the fuzzy knowledge exchange among multi-agents

Author

Hanbin, LI ; Mingyi, Wang ; Shaowen, YAO ; Mingtian, Zhou

Author_Institution

Lab of Network Intelligent Comput., Yunnan Univ., Kunming, China

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

55

Lastpage

60

Abstract

Many existing routing mechanisms are awkward in a highly dynamic network environment. By proposing a cooperative model of multiagents based on fuzzy knowledge and a basal algorithm for routing computation, we apply a multiple mobile agent cooperating system to dynamic network routing. Some key factors of the system are discussed in the context. With the help of a simulative dynamic network and experiments, we analyze the performance-overhead characteristic of the system and make a comparison among cooperation strategies. The results show that the proposed theoretic model and algorithm are suitable for dynamic network routing and able to improve the response capability of the routing system.

Keywords

computer networks; fuzzy logic; mobile agents; multi-agent systems; telecommunication network routing; basal algorithm; fuzzy knowledge exchange; mobile agent cooperating system; multiagent belief system; performance overhead; simulative dynamic network routing; Analytical models; Broadcasting; Communication networks; Computational modeling; Computer networks; Fuzzy systems; Intelligent networks; Mobile agents; Multiagent systems; Routing;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7803-7840-7

Type

conf

DOI

10.1109/PDCAT.2003.1236258

Filename

1236258