Improved reinforcement computing to implement AntNet-based routing using general NPs for ubiquitous environments

Hyuntae Park, Byung In Moon, Sungho Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the ubiquitous convergence era, the traffic managements and quality of services will be made much of a role. Because traditional routing mechanisms are lacking scalability and adaptability, a kind of adaptive routing algorithm called AntNet has attracted the attention. AntNet is an adaptive agent-based routing algorithm that imitates the activities of the social insect. In AntNet, there are implementation constraints due to complex arithmetic calculations for determining a reinforcement value. Besides, a housekeeping core in network processors will be overwhelmed by increasing routing workload for a processing of agents. In this paper, we propose a new reinforcement computing algorithm to overcome these problems. This can be implemented efficiently on packet forwarding engines of conventional network processors. The simulation results show that the proposed AntNet is more adaptive and effective in the performance of the implementation than the original AntNet.

Original languageEnglish
Title of host publicationUbiquitous Convergence Technology - First International Conference, ICUCT 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages242-251
Number of pages10
ISBN (Print)9783540717881
DOIs
Publication statusPublished - 2007
Event1st International Conference on Ubiquitous Convergence Technology, ICUCT 2006 - Jeju Island, Korea, Republic of
Duration: 2006 Dec 52006 Dec 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4412 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Ubiquitous Convergence Technology, ICUCT 2006
CountryKorea, Republic of
CityJeju Island
Period06/12/506/12/6

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Park, H., Moon, B. I., & Kang, S. (2007). Improved reinforcement computing to implement AntNet-based routing using general NPs for ubiquitous environments. In Ubiquitous Convergence Technology - First International Conference, ICUCT 2006, Revised Selected Papers (pp. 242-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4412 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71789-8_25