Ant-based load balancing in telecommunications networks
Adaptive Behavior
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Mobile Software Agents for Control in Telecommunications Networks
BT Technology Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Energy Conservation Model using Dynamic Caching for Wireless Devices
ANSS '04 Proceedings of the 37th annual symposium on Simulation
Neural network predication for network routing
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Expert Systems with Applications: An International Journal
A fault tolerant distributed routing algorithm based on combinatorial ant systems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Hi-index | 0.25 |
An attractive feature of an agent-based control system is being studied in this paper, with respect to network throughput for a certain amount of traffic and applied to a synchronous digital hierarchy network. Algorithmically complex problems like routing a call in a network, need to be faced with a dynamically adaptive approach such as agent-based probabilistic routing. The performance of a decentralized-based routing scheme that is subject to link and/or node failures is examined while agents are moving across the network and define a cost effective path from a source to a destination. Agent-based routing scheme is proved to increase the service rate and throughput response of the system with significant reduction in call failures. Through various newly introduced metrics and simulation of the proposed scenario, we have shown that agent-based routing offer us a decentralized control in the network and an efficient way to increase overall performance.