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Routing algorithm based on swarm intelligence

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2 Author(s)
Yong Lv ; Electron. Inf. Eng., Jiaxing Univ., Jiaxing, China ; Yaodong Zhu

Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness, decentralized and self-organizing nature, which are well suited for routing in modern communication networks. This paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based on simple biological “ants” that explore the network and learn good routes, using a novel variation of reinforcement learning. Simulation results confirm that the algorithm is shown to significantly improve the network's relaxation and its response to perturbations.

Published in:

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Date of Conference:

6-8 July 2012