Nonsaturation throughput enhancement of IEEE 802.11b distributed coordination function for heterogeneous traffic under noisy environment

Dhanasekaran, S.; Krishnan, A.

doi:10.1007/s11633-010-0095-6

Cited by 16 publications

(3 citation statements)

References 18 publications

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“…Engelestad et al 12 presented a mathematical model considering throughput, delay, and frame drop probabilities for both saturated and non-saturated channel traffic. Other works [13][14][15] extended the proposed models to study the basic 802.11 DCF mechanism in error prone channels.…”

Section: Related Workmentioning

confidence: 99%

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Jabri

Mansour

Al‐Oqily

et al. 2021

Trans Emerging Tel Tech

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The MAC protocol data unit aggregation (A-MPDU) and Block Acknowledgment (Block Ack) techniques are probably the most relevant 802.11 MAC layer enhancements. In spite of being tremendously studied in the literature, recent research activities have revealed that the available analytical models for those techniques do not capture the impact of the Block Ack window limit on the aggregated frame size. This provokes errors in the estimation of the average aggregation size that raise up to 190% in erroneous environments. Throughout this work, we use Markovian techniques to design a more accurate model for 802.11n MAC layer. Our model reflects the impact of the conventional A-MPDU acknowledgment method on the A-MPDU aggregation size. The accuracy of our model has been validated through ns-3 simulations. A comparison with two analytical models of 802.11n MAC sub-layer has been also carried on. In depth analysis have been conducted to investigate the behavior of A-MPDU aggregation scheme under different channel conditions and its impact on the overall network performance. Assessments have shown that our model is more rigorous than existing models. Besides, we have proved that A-MPDU frame aggregation technique is extremely sensitive to channel conditions variation because of the effect of the Block Ack window limit on the maximum aggregation size. INTRODUCTIONFace to the contemporary trends of applications and developments in actual network technologies like Internet of Things, Fog Computing, VANETs, and 5G networks, the 802.11-based wireless local area networks (WLANs) encounters new challenges. 1,2 Thus many advanced communication techniques have been introduced at the physical (PHY) layer to boost the data rates, such as orthogonal frequency division multiplexing (OFDM), multiple input multiple output (MIMO) technique, beamforming and the use of wider bandwidth. 3,4 However, it has been proved in Reference 5 that the legacy IEEE 802.11 channel access method and the control frame exchange overhead are the major limits to optimize the 802.11-based networks' performance. Therefore the IEEE 802.11n amendment, known also as high throughput (HT) amendment has introduced frame aggregation technique to mitigate to the constraints imposed by the MAC layer specifications and take full benefit from the advanced PHY layer techniques. This technique permits to aggregate many frames as one large frame and to treat them as a single frame during transmission. 2 We distinguish MAC service data unit aggregation (A-MSDU) and MAC protocol data unit aggregation (A-MPDU). The former consists in combining multiple MSDUs of the same 802.11e access category into a single MAC frame (MPDU). Whereas the later is performed at the bottom of the MAC layer, after the insertion of the MAC header and

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Section: Related Workmentioning

confidence: 99%

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Jabri

Mansour

Al‐Oqily

et al. 2021

Trans Emerging Tel Tech

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“…In case of transmission error due to fading or packet collision from other stations experiences external collision, the contention window size is doubled for every transmission. Based on this previous work of Xiao 's model (2005), Senthilkumar and Krishnan (2010), we developed a Markov chain model for the EDCA analysis. The study is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Analytical Modeling of IEEE 802.11e Enhanced Distributed Channel Access under a Non-Saturation Condition

Prakash¹

2011

Journal of Computer Science

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Problem statement: The IEEE 802.11e EDCA protocol with different access Categories (ACs) supporting for Quality-of-Service (QoS). Due to internal or external packet collision, the Contention Window (CW) of the station increases the channel idle time under high Bit Error Rate (BER). Approach: In this study, we propose an analytical model for performance evaluation of IEEE 802.11e EDCA scheme under non-saturation condition and error prone channel. The new markov chain model have decrease the channel idle time in IEEE 802.11 EDCA and considerably increases the throughput for minimum number of station. Results: We develop an expression for the nonsaturation throughput as a function of the number of stations, packet sizes and BER. Conclusion: We validate the accuracy of our analysis with simulation expression. Using this model, the contention factors can be set appropriately to attain particular Quality-of-Service (QoS) requirements.

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“…Most of the previous research works proposed a model [11,12] for throughput analysis of the IEEE 802.11 DCF with a single transmission rate. Some researchers have presented the throughput analysis of multirate WLAN [13] .…”

Section: Introductionmentioning

confidence: 99%

Throughput analysis of IEEE 802.11 multirate WLANs with collision aware rate adaptation algorithm

Dhanasekaran¹,

Krishnan²

2010

Int. J. Autom. Comput.

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This paper presents a mathematical model that analyzes the throughput of the IEEE 802.11b distributed coordination function (DCF) with the collision aware rate adaptation (CARA) algorithm. IEEE 802.11 WLANs provide multiple transmission rates to improve system throughput by adapting the transmission rate to the current channel conditions. The system throughput is determined by some stations using low transmission rates due to bad channel conditions. CARA algorithm does not disturb the existing IEEE 802.11b formats and it can be easily incorporated into the commercial wireless local area networks (WLAN) devices. Finally, we verify our findings with simulation.

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Nonsaturation throughput enhancement of IEEE 802.11b distributed coordination function for heterogeneous traffic under noisy environment

Cited by 16 publications

References 18 publications

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Analytical Modeling of IEEE 802.11e Enhanced Distributed Channel Access under a Non-Saturation Condition

Throughput analysis of IEEE 802.11 multirate WLANs with collision aware rate adaptation algorithm

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