Poster Abstract: background traffic-aware rate adaptation for IEEE 802.11: implementation and test-bed experimental results

Authors:
Shao-Cheng Wang;Ahmed Helmy
Affiliations:
University of Florida, Gainesville, FL;University of Florida, Gainesville, FL
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2010

Citing 3
Cited 1

A rate-adaptive MAC protocol for multi-Hop wireless networks

Proceedings of the 7th annual international conference on Mobile computing and networking
IEEE 802.11 rate adaptation: a practical approach

MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Robust rate adaptation for 802.11 wireless networks

Proceedings of the 12th annual international conference on Mobile computing and networking

Dynamic ARF for throughput improvement in 802.11 WLAN via a machine-learning approach

Journal of Network and Computer Applications

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Abstract

IEEE 802.11-based devices employ rate adaptation algorithms to dynamically switch data rates to accommodate the fluctuating wireless channel conditions. In this paper, we design and implement a new Background traffic aware rate adaptation algorithm (BEWARE) in Linux-based device driver. The proposed rate adaptation algorithm makes rate decisions by on-the-fly estimating the expected packet transmission time which captures both current wireless channel and background traffic conditions. Our test-bed experiment results show that BEWARE outperforms other rate adaptation algorithms by up to 150% in various indoor and outdoor scenarios.