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CLC number: TN915.11

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Received: 2003-07-30

Revision Accepted: 2003-09-11

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Journal of Zhejiang University SCIENCE A 2004 Vol.5 No.7 P.867-872


Adaptive swarm-based routing in communication networks

Author(s):  LÜ, Yong, ZHAO Guang-zhou, SU Fan-jun, LI Xiao-run

Affiliation(s):  College of Electrical Engineering, Zhejiang University, Hongzhou 310027, China

Corresponding email(s):   lvyongs@sohu.com

Key Words:  Communication networks, Ant based, Adaptive routing

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LÜ Yong, ZHAO Guang-zhou, SU Fan-jun, LI Xiao-run. Adaptive swarm-based routing in communication networks[J]. Journal of Zhejiang University Science A, 2004, 5(7): 867-872.

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Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness and distributed, decentralized nature, which are well suited for routing in modern communication networks. This paper describes an adaptive swarm-based routing algorithm that increases convergence speed, reduces routing instabilities and oscillations by using a novel variation of reinforcement learning and a technique called momentum. Experiment on the dynamic network showed that adaptive swarm-based routing learns the optimum routing in terms of convergence speed and average packet latency.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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