Ant-based load balancing in telecommunications networks
Adaptive Behavior
Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
An architecture for a secure service discovery service
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The design and implementation of an intentional naming system
Proceedings of the seventeenth ACM symposium on Operating systems principles
Mobile Software Agents for Control in Telecommunications Networks
BT Technology Journal
ACO Algorithm with Additional Reinforcement
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Split agent-based routing in interconnected networks: Research Articles
International Journal of Communication Systems
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A survey of active network research
IEEE Communications Magazine
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The explosive growth of multimedia and other bandwidth intensive applications has resulted a rapid increase in the size of the traffic loads that needs to be supported by modern networks. This paper describes the combination of the active network concept with swarm based control method for optimized multiclass QoS priority routing. This hybrid scenario uses the bandwidth clustering approach (triggered clusters). The packets follow a predetermined path initialized and allocated by swarm based packets, blindly and without any global knowledge of network conditions. In this work this mechanism is associated with the triggered pheromone explored at different simulation sessions and does not require message brokers to fulfill multiclass QoS demands. The pheromone enforcement model that is indicated increases the overall response of the system. Simulation results depict the performance and robustness of the scheme in terms of the end-to-end delay, available bandwidth and packet loss under different traffic measures.