CPN and QoS driven smart routing in wired and wireless networks

    Authors

    E. Gelenbe; R. Lent; M. Gellman; P. X. Liu;P. Su

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Keywords

    RANDOM NEURAL-NETWORK; PERFORMANCE; Computer Science, Information Systems; Computer Science, Theory &; Methods; Telecommunications

    Abstract

    There exists an increasing need for dynamic mechanisms that take into account quality of service provisions in the establishment of routes in communication networks. Recently, we introduced a quality of service (QoS) driven routing algorithm called "Cognitive Packet Network" (CPN), which dynamically selects paths through a store-and-forward packet network so as to offer best effort QoS to an end-to-end traffic. This paper discusses a number of extensions to the algorithm: the incorporation of selective broadcasts to support the operation of an ad hoc network, the use of delay, loss, and energy information as metrics for routing, and the use of genetic algorithms to generate and maintain paths from previously discovered information by matching their "fitness" with respect to the desired QoS. We discuss implementation considerations as well as simulation and experimental results on a network testbed.

    Journal Title

    Performance Tools and Applications to Networked Systems

    Volume

    2965

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    68

    Last Page

    87

    WOS Identifier

    WOS:000221536500004

    ISSN

    0302-9743; 3-540-21945-5

    Share

    COinS