Networking with cognitive packets

    Authors

    E. Gelenbe; R. Lent;Z. G. Xu

    Keywords

    Computer Science, Artificial Intelligence

    Abstract

    This paper discusses a novel packet computer network architecture, a "Cognitive Packet Network (CPN)"; in which intelligent capabilities for routing and flow control are moved towards the packets, rather than being concentrated in the nodes. The routing algorithm in CPN uses reinforcement learning based on the Random Neural Network. We outline the design of CPN and show how it incorporates packet loss and delay directly into user Quality of Service (QoS) criteria, and use these criteria to conduct routing. We then present our experimental test-bed and report on extensive measurement experiments. These experiments include measurements of the network under link and node failures. They illustrate the manner in which neural network based CPN can be used to support a reliable adaptive network environment for peer-to-peer communications over an unreliable infrastructure.

    Journal Title

    Artificial Neural Networks - Icann 2002

    Volume

    2415

    Publication Date

    1-1-2002

    Document Type

    Article

    Language

    English

    First Page

    259

    Last Page

    264

    WOS Identifier

    WOS:000181441900043

    ISSN

    0302-9743; 3-540-44074-7

    Share

    COinS