TY - GEN
T1 - Improved reinforcement computing to implement AntNet-based routing using general NPs for ubiquitous environments
AU - Park, Hyuntae
AU - Moon, Byung In
AU - Kang, Sungho
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/38049138982
U2 - 10.1007/978-3-540-71789-8_25
DO - 10.1007/978-3-540-71789-8_25
M3 - Conference contribution
AN - SCOPUS:38049138982
SN - 9783540717881
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 242
EP - 251
BT - Ubiquitous Convergence Technology - First International Conference, ICUCT 2006, Revised Selected Papers
PB - Springer Verlag
T2 - 1st International Conference on Ubiquitous Convergence Technology, ICUCT 2006
Y2 - 5 December 2006 through 6 December 2006
ER -