IEEE 802.11 Distributed Coordination Function: Enhancement and analysis

Wu, Hai Tao; Lin, Yu; Cheng, Shi; Peng, Yong; Liu, Ke

doi:10.1007/bf02947120

Cited by 20 publications

(15 citation statements)

References 6 publications

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“…There have been several subsequent studies that refine the model of [2] or consider different traffic models, channel conditions, or performance measures (e.g., [20], [21]). To the best of our knowledge, our work is the first theoretical analysis of the IEEE 802.11 MAC under adversarial jamming.…”

Section: B Related Workmentioning

confidence: 99%

“…Unlike [2], we adopt the protocol standard of a finite retransmission limit (this refinement of [2]'s model has been studied in [21]). Let W 0 = CW min denote the minimum contention window (CW), W i be the CW of the ith backoff stage and M be the maximum retransmission limit.…”

Section: A An Analysis Frameworkmentioning

confidence: 99%

“…In order to keep the total jamming rate R constant we cannot vary x and y independently. The constraint that R is fixed implies a relation between x and y, which we will determine shortly (21). The relation (21) can be solved to give y as a function of x in the interval [P c , 1], and so the constrained transmission probability is τ (x, y(x)).…”

Section: Omniscient Jammersmentioning

confidence: 99%

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On the Performance of IEEE 802.11 under Jamming

Bayraktaroglu¹,

King²,

Liu³

et al. 2008

2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications

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Abstract-In this paper, we study the performance of the IEEE 802.11 MAC protocol under a range of jammers that covers both channel-oblivious and channel-aware jamming. We study two channel-oblivious jammers: a periodic jammer that jams deterministically at a specified rate, and a memoryless jammer whose signals arrive according to a Poisson process. We also develop new models for channel-aware jamming, including a reactive jammer that only jams non-colliding transmissions and an omniscient jammer that optimally adjusts its strategy according to current states of the participating nodes.Our study comprises of a theoretical analysis of the saturation throughput of 802.11 under jamming, an extensive simulation study, and a testbed to conduct real world experimentation of jamming IEEE 802.11 using GNU Radio and USRP platform. In our theoretical analysis, we use a discrete-time Markov chain analysis to derive formulae for the saturation throughput of IEEE 802.11 under memoryless, reactive and omniscient jamming. One of our key results is a characterization of optimal omniscient jamming that establishes a lower bound on the saturation throughput of 802.11 under arbitrary jammer attacks. We validate the theoretical analysis by means of Qualnet simulations. Finally, we measure the real-world performance of periodic and memoryless jammers using our GNU radio jammer prototype.

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Section: B Related Workmentioning

confidence: 99%

Section: A An Analysis Frameworkmentioning

confidence: 99%

Section: Omniscient Jammersmentioning

confidence: 99%

See 1 more Smart Citation

On the Performance of IEEE 802.11 under Jamming

Bayraktaroglu¹,

King²,

Liu³

et al. 2008

2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications

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“…Wang et al [6] proposed a new efficient collision resolution mechanism to reduce the collision probability by halving the contention window size after c consecutive successful transmissions. In Reference [7], an enhancement for DCF was proposed to augment the saturation throughput by adaptively adjusting the contention window.…”

Section: Introductionmentioning

confidence: 99%

Defining and maximizing PPT—a novel performance parameter for IEEE 802.11 DCF

Long

Zhao

2006

Int J Communication

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SUMMARYMuch research has been conducted on saturation throughput of IEEE802.11 DCF, and has led to some improvement. But increasing the successful transmission probability of packet is also important for saving stations' battery energy and decreasing the packet delay. In this paper, we define a new performance parameter, named Product of successful transmission Probability and saturation Throughput (PPT), for 802.11 DCF, which binds successful transmission probability and saturation throughput together. An analysis is given to maximize PPT. An expression of optimal minimum contention windows (CW min ) is obtained analytically for maximizing PPT. For simplicity, we give a name DCF-PPT to the 802.11 DCF that sets its CW min according to this expression. The performance of DCF-PPT is simulated with different stations in terms of saturation throughput, successful transmission probability and PPT. The simulation results indicate that, compared to 802.11 DCF, DCF-PPT can significantly increase the PPT and successful transmission probability (about 0.95) on condition that the saturation throughput is not decreased.

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“…* The channel probing sequence [1, 5, 9, 2, 6, 10, 3,7,11,4,8] is consistent with the manufacture specification [25] and is used so that two channels in the sequence would have a high probability of having APs running on them. For example, if we hear an AP on channel 1, it is more probable to have an AP on channels 5 and 9 than on channels 2 and 3.…”

Section: Active Probing Implementation: Experimental Setupmentioning

confidence: 99%

The IEEE 802.11 active probing analysis and enhancements

Youssef

Shahamat

Kleene

et al.

2005 International Conference on Wireless Networks, Communications and Mobile Computing

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The Active Probing mechanism is a critical function of the IEEE 802.11 protocol. Active probing is used for access points discovery, roaming between different access points, and recently in WLAN-based location determination systems to achieve reliable signal strength measurements. The 802.11 standard leaves it open for manufacturers to implement the Active Probing mechanism. In this paper, we analyze the performance of the Active Probing mechanism of the 802.11 protocol. Our analysis shows that the current implementations of the Active Probing mechanism are inefficient and lead to decreased capacity. We identify two main factors contributing to this negative effect on the capacity. These factors are observed with cards from different manufacturers and lead to increasing the probing cycle time and unnecessary retransmission. We propose different techniques to enhance the efficiency of the Active Probing mechanism. The proposed techniques require no or minimal changes to the wireless cards' drivers and hence allow incremental deployment.

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IEEE 802.11 Distributed Coordination Function: Enhancement and analysis

Cited by 20 publications

References 6 publications

On the Performance of IEEE 802.11 under Jamming

On the Performance of IEEE 802.11 under Jamming

Defining and maximizing PPT—a novel performance parameter for IEEE 802.11 DCF

The IEEE 802.11 active probing analysis and enhancements

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