Cognitive Networks Multi-Constraint QoS Routing Algorithm Based on Autonomic Ant Colony Algorithm

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Provided by: Binary Information Press
Topic: Networking
Format: PDF
In this paper, the authors focused on the study of Cognitive Networks (CNs) oriented multi-parameter constraint Quality of Service (QoS) routing optimization. With the foundation of CNs multi-parameter QoS routing requirement, referring to the shortcomings of basic ant colony algorithm, they brought improvements to the four aspects of pheromone initialization, pheromone evaporation factor adjustment, pheromone update method and state transition rules, proposed the CNs multi-constraint QoS routing algorithm based on Autonomic Ant Colony (AAC) algorithm. The simulation result represents that the proposed algorithm has relatively good optimization ability and fast convergence speed, can effectively solving the multi-constraint QoS routing problem faced by CNs.
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