Dynamic agent population in agent-based distance vector routing

  • Authors:
  • Kaizar A. Amin;Armin R. Mikler

  • Affiliations:
  • Department of Computer Science University of North Texas Denton, TX;Department of Computer Science University of North Texas Denton, TX

  • Venue:
  • Second international workshop on Intelligent systems design and application
  • Year:
  • 2002

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Abstract

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.