Behavioral learning of exposed terminals in IEEE 802.11 wireless networks

Cao Jun, Yu Jieun, Kim Kyunghwi, Lee Wonjun

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

    Abstract

    In this paper, we tackle issues on the exposed terminal problem in IEEE 802.11 based wireless networks from a simulative perspective by investigating the internal relationship of node transmission behaviors under various network scenarios. The proposed solution is designed to learn node behaviors according to incoming traffic patterns and to assist wireless nodes make accurate transmission judgment to avoid exposed terminal problems as much as possible. Extensive simulations using ns-2 have been performed to validate the proposed scheme by varying system parameters including carrier sense range and hop counters. Our experimental outcomes show that the proposed solution yields performance gains in terms of aggregate throughput in excess of 10% to 15% compared to the standard.

    Original languageEnglish
    Title of host publication2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009
    Pages208-213
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009 - Hong Kong, China
    Duration: 2009 Jun 72009 Jun 9

    Publication series

    Name2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009

    Other

    Other2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009
    Country/TerritoryChina
    CityHong Kong
    Period09/6/709/6/9

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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