Split agent-based routing in interconnected networks

Research output: Contribution to journalArticlepeer-review

Abstract

Adaptive behaviour of swarm-based agents (BT Technol. J. 1994; 12:104-113; AAMAS Conference '02, Melbourne, Australia, Month 1-2, 2002; Softcomput. J. 2001; 5(4):313-317.) is being studied in this paper with respect to network throughput for a certain amount of data traffic. Algorithmically complex problems like routing data packets in a network need to be faced with a dynamically adaptive approach such as agent-based scheme. Particularly in interconnected networks where multiple networks are participating in order to figure a large-scale network with different QoS levels and heterogeneity in the service of delay sensitive packets, routing algorithm must adopt in frequent network changes to anticipate such situations. Split agent-based routing technique (SART) is a variant of swarm-based routing (Adapt. Behav. 1997; 5:169-207; Proceedings of 2003 International Symposium on Performance Evaluation of Computer and Telecommunication Systems - SPECTS, Montreal, Canada, July 20-24, 2003; 240-247.) where agents are split after their departure to the next node on a hop-by-hop basis. Packets that are delay sensitive are marked as prioritized which agents recognize-as being a part of a packet- and try to influence the two-way routing tables. Thorough examination is made, for the performance of the proposed algorithm in the network and the QoS offered, taking into account a number of metrics. It is shown that the split' agent routing scheme applied to interconnected networks offers a decentralized control in the network and an efficient way to increase overall performance and packet control reducing at the same time the packet loss concept.

Original languageEnglish
Pages (from-to)303-320
Number of pages18
JournalInternational Journal of Communication Systems
Volume17
Issue number4
DOIs
Publication statusPublished - May 2004

Keywords

  • Intelligent mobile agents
  • Interconnected networks
  • Split agent system
  • Swarm intelligence

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