CWminEstimation and Collision Identification in Wi-Fi Systems

Amir Hossein Yazdani-Abyaneh, Marwan Krunz

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

Abstract

Wi-Fi networks are susceptible to aggressive behavior caused by selfish or malicious devices that reduce their minimum contention window size (CWmin) to below the standard CWmin. In this paper, we propose a scheme called Minimum Contention Window Estimation (CWE) to detect aggressive stations with low CWmin's, where the AP estimates the CWmin value of all stations transmitting uplink by monitoring their backoff values over a period of time and keeping track of the idle time each station spends during backoff. To correctly estimate each backoff value, we present a cross-correlation based technique that uses the frequency offset between the AP and each station to identify stations involved in uplink collisions. The AP constructs empirical distributions for the monitored backoff values and compares them with a set of nominal PMF's, created via Markov analysis of the DCF protocol to estimate CWmin of various stations. After detecting the aggressive stations, the AP can choose to stop serving those stations. Simulation results show that the accuracy of our collision detection technique is 96%, 94%, and 88% when there are 3, 6, and 9 stations in the WLAN, respectively. For the former WLAN settings, the estimation accuracy of CWE scheme is 100%, 98.81%, and 96.3%, respectively.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages490-498
Number of pages9
ISBN (Electronic)9781665449359
DOIs
StatePublished - 2021
Externally publishedYes
Event18th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021 - Virtual, Online, United States
Duration: Oct 4 2021Oct 7 2021

Publication series

NameProceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021

Conference

Conference18th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021
Country/TerritoryUnited States
CityVirtual, Online
Period10/4/2110/7/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture

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