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Adaptation-based programming for network protocol design: An 802.11x case study (abstract)

TitleAdaptation-based programming for network protocol design: An 802.11x case study (abstract)
Publication TypeConference Paper
Year of Publication2011
AuthorsZhu, P., J. Pinto, A. Fern, and T. Nguyen
Conference NameIEEE International Performance Computing and Communications Conference (IPCCC-2011)
Pagination1 - 2
Date Published11/2011
PublisherIEEE
Conference LocationOrlando, FL
ISBN Number978-1-4673-0011-7
Abstract

The design of network protocols is a complicated and tedious endeavor. For instance, designing a MAC layer protocol for the 802.11 standard typically involves a number of high-level decisions (e.g., conditions for backoff steps) followed by an individual tuning of numeric parameters (e.g., backoff factors), for a variety of network conditions. A different way to view this design process is that of a designer being forced to fully specify a solution to a complex problem. At the other extreme of the programming spectrum lie Reinforcement Learning techniques which only require a minimal problem specification from the programmer.

DOI10.1109/PCCC.2011.6108103