| Adaptive swarm-based routing in communication networks |
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| 作者姓名： | 吕勇 赵光宙 苏凡军 历小润 |
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| 作者单位： | College of Electrical Engineering，Zhejiang University，Hongzhou 310027，China，College of Electrical Engineering，Zhejiang University，Hongzhou 310027，China，College of Electrical Engineering，Zhejiang University，Hongzhou 310027，China，College of Electrical Engineering，Zhejiang University，Hongzhou 310027，China |
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| 摘 要： | INTRODUCTION Communication network management ibecoming increasingly difficult due to thincreasing size, rapidly changing topology, ancomplexity of communication networks. Currenrouting algorithms cannot adequately tackle sucnetworks. Centralized algorithms have scalabilitproblems; static algorithms have trouble keepinup-to-date with network changes; and othedistributed and dynamic algorithms havoscillation and s…
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Adaptive swarm-based routing in communication networks |
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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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| Keywords: | Communication networks Ant based Adaptive routing |
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