Ant-based load balancing in telecommunications networks
Adaptive Behavior
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Using the Cross-Entropy Method to Guide/Govern Mobile Agent's Path Finding in Networks
MATA '01 Proceedings of the Third International Workshop on Mobile Agents for Telecommunication Applications
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Overhead reduction in a distributed path management system
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cost-efficient deployment of collaborating components
DAIS'08 Proceedings of the 8th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Self-tuned refresh rate in a swarm intelligence path management system
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
Hi-index | 0.00 |
CE-ants is a distributed, robust and adaptive swarm intelligence strategy for dealing with path management in communication networks. This paper focuses on various strategies for adjusting the overhead generated by the CE-ants as the state of the network changes. The overhead is in terms of number of management packets (ants) generated, and the adjustments are done by controlling the ant generation rate that controls the number ants traversing the network. The link state events considered are failure and restoration events. A simulation scenario compares restoration performance of rate adaptation in the source node with rate adaptation in the intermediate nodes close to the link state events. Implicit detection of failure events through monitoring ant parameters are considered. Results indicate that an implicit adjustment in the source node is a promising approach with respect to restoration time and the number of ants required.