Data networks
A loop-free extended Bellman-Ford routing protocol without bouncing effect
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
A new responsive distributed shortest-path rounting algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Dynamic agent population in agent-based distance vector routing
Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Distributed holonic multi-agent system for resource discovery in grids
Multiagent and Grid Systems
Mobile Agent-Based Approach for Resource Discovery in Peer-to-Peer Networks
Agents and Peer-to-Peer Computing
G-Networks and the modeling of adversarial agents
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Typhon: a mobile agents framework for real world emulation in prolog
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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The Intelligent Mobile Agent paradigm can be applied to a wide variety of intrinsically parallel and distributed applications. Network routing is one such application that can be mapped to an agent-based approach. The performance of any agent-based system will depend on its agent population. Although a significant amount of research has been conducted on mobile agent-based systems, little consideration has been given to the importance of agent population in dynamic networks. A large number of constituent agents can consume considerable amounts of network resources, thereby impeding the overall performance of the network. Hence, it is imperative to have a control mechanism whereby the agent population can be adjusted in a distributed manner to balance the resource overhead in the network. This paper briefly discusses an agent-based approach to Distance Vector Routing, referred as Agent-based Distance Vector Routing. It also describes a framework for an adaptive approach to control the number of agents in the network using pheromones and discusses its limitations.