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IEEE802.11k enabled adaptive physical carrier sense mechanism for wireless networks (K-APCS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The existence of hidden and exposed nodes can have a significantly negative impact on the performance of IEEE802.11 networks. Such nodes can increase the probability of collisions and limit the spatial reuse on the channel. The value of the Physical Carrier Sensing Threshold (PCST) is instrumental to the trade-off between the number of hidden and exposed nodes in a system. This paper presents a new adaptive physical carrier sensing mechanism for wireless networks. The K-APCS algorithm maximizes the aggregate system throughput by optimizing the balance between the spatial reuse and the collision rate of a system. It incorporates 802.11k radio resource measurements and a frame loss bound on each node to enable the on-line tuning of the PCST. Simulations were performed on five variants of carrier sensing mechanisms; results show that K-APCS achieves the maximum spatial reuse with a throughput gain of 28% and the minimum collision rate with a decrease of 0.01%.

Original languageEnglish
Title of host publicationPM2HW2N'09 - Proceedings of the 4th ACM International Workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks
Pages209-215
Number of pages7
DOIs
Publication statusPublished - 2009
Event4th ACM International Workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks, PM2HW2N'09 - Tenerife, Canary Islands, Spain
Duration: 26 Oct 200926 Oct 2009

Publication series

NamePM2HW2N'09 - Proceedings of the 4th ACM International Workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks

Conference

Conference4th ACM International Workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks, PM2HW2N'09
Country/TerritorySpain
CityTenerife, Canary Islands
Period26/10/0926/10/09

Keywords

  • Algorithm design
  • Performance optimization
  • Simulation

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