| Electrical Engineering |
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| Adaptive swarm-based routing in communication networks |
| LÜ Yong, ZHAO Guang-zhou, SU Fan-jun, LI Xiao-run |
| College of Electrical Engineering, Zhejiang University, Hongzhou 310027, China |
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Abstract 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.
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Received: 30 July 2003
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