Behavioral learning of exposed terminals in IEEE 802.11 wireless networks

Cao Jun, Yu Jieun, Kim Kyunghwi, Wonjun Lee

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 Nov 12
Event2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009 - Hong Kong, China
Duration: 2009 Jun 72009 Jun 9

Other

Other2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009
CountryChina
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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  • Cite this

    Jun, C., Jieun, Y., Kyunghwi, K., & Lee, W. (2009). Behavioral learning of exposed terminals in IEEE 802.11 wireless networks. In 2009 1st International Conference on Ubiquitous and Future Networks, ICUFN 2009 (pp. 208-213). [5174313] https://doi.org/10.1109/ICUFN.2009.5174313