Cross-layer wireless bit rate adaptation

Vutukuru, Mythili; Balakrishnan, Hari; Jamieson, Kyle

doi:10.1145/1592568.1592571

Cited by 268 publications

(85 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rate adaptation plays an important role in IEEE802.11 as the link quality in a WLAN is often highly dynamic. In recent years, a number of algorithms for rate adaptation have been proposed in literature [7,12,14,17,25,26,41,42], and few have been used in Commercial Off-The-Shelf (COTS) products as well [5,19]. Their main idea is to estimate channel quality and adjust the transmission rate accordingly.…”

Section: 43]mentioning

confidence: 99%

On the robustness of IEEE 802.11 rate adaptation algorithms against smart jamming

Noubir

Rajaraman

Sheng

et al. 2011

Proceedings of the Fourth ACM Conference on Wireless Network Security

View full text Add to dashboard Cite

We investigate the resiliency of IEEE802.11 rate adaptation algorithms (RAA) against smart jamming attacks. We consider several classes of state-of-the-art RAAs that include the SampleRate, ONOE, AMRR, and the RAA used in Atheros Microsoft Windows XP driver. We model the behavior of these algorithms, and show the existence of very efficient attacks that exploit RAA-specific vulnerabilities as well as the inherent weaknesses that exist in the design of IEEE802.11 MAC and link layer protocol: in particular the overt packet rate information being transmitted, predictable rate selection mechanism, performance anomaly caused by the equiprobability of transmissions among all nodes regardless of the data rates being employed, and the lack of interference differentiation from poor link quality by IEEE802.11 RAAs. In this work, we present algorithms that determine optimal jamming strategies against RAAs for a given jamming budget, and experimentally demonstrate the efficiency of these smart jamming attacks, which can be orders of magnitude more efficient than naive jamming. For example, in the case of SampleRate, eight reactive jamming pulses every second are sufficient to achieve the same network throughput degradation achieved by a periodic jammer with the jamming energy cost 100 times higher. Some of the RAAs react even worse to smart jamming attacks; ONOE in particular suffers from the phenomenon of congestion collapse where the nodes fail to recover from the lowest data rate even after the jammer stops jamming. At the end, we summarize fundamental reasons behind such RAA vulnerabilities and propose a preliminary set of mitigation techniques. We leave the experimental demonstration of the efficiency of the proposed mitigation mechanisms for future work.

show abstract

Section: 43]mentioning

confidence: 99%

On the robustness of IEEE 802.11 rate adaptation algorithms against smart jamming

Noubir

Rajaraman

Sheng

et al. 2011

Proceedings of the Fourth ACM Conference on Wireless Network Security

View full text Add to dashboard Cite

show abstract

“…However, most of these algorithms present poor performance in dense networks. Some works have already tackled the problem of rate adaptation in networks with many stations contending for medium access [2,17,19,28,50]. The problem is the incidence of a large number of collisions when there are several stations trying to transmit, regardless of whether they are communicating with their APs or exchanging frames in ad hoc mode.…”

Section: Automatic Rate Control Algorithmsmentioning

confidence: 99%

Increasing throughput in dense 802.11 networks by automatic rate adaptation improvement

Cardoso

Rezende

2011

Wireless Netw

View full text Add to dashboard Cite

Rate control algorithms for commercial 802.11 devices strongly rely on packet losses for their adaptation. As a result, they give poor performance in dense networks because they are not able to distinguish packet losses related to channel error from packet losses due to collision. In this paper, we evaluate automatic rate adaptation algorithms in IEEE 802.11 dense networks. A certain number of works in the literature address this problem, but they demand modifications of the IEEE standard, or depend on some special feature not available in off-the-shelf devices. In this context, we propose a new automatic rate control algorithm which is simple, easy to implement, standards-compliant, and wellsuited for crowded 802.11 networks. Our approach consists of measuring the contention level, inferring the collision probability, and choosing transmission rates which maximize throughput. Results from simulation and real experiments show throughput improvement of up to 100% from our mechanism.

show abstract

“…Vendors and researchers have introduced a number of proposals as the 802.11 standards do not mandate the procedures of selecting the transmission rate [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], which are collectively referred to as the rate adaptation. In principle, the higher is the received signal-to-noise ratio (SNR), the higher transmission rate can be used for communications.…”

Section: Introductionmentioning

confidence: 99%