A simple but accurate throughput model for IEEE 802.11 EDCA in saturation and non-saturation conditions

Kosek-Szott, Katarzyna; Natkaniec, Marek; Pach, Andrzej R.

doi:10.1016/j.comnet.2010.10.002

Cited by 55 publications

(48 citation statements)

References 13 publications

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“…7.1.2. Good agreement of theoretical and simulation results validates the correct implementation of BusySiMOn in the ns-2 simulator The analysis presented in this section is based on the EDCA throughput model that we proposed in [14]. For EDCA, the throughput of the i-th AC (S i ) is equal to the average duration of a successful transmission of a frame in this particular AC divided by the average duration of a Table 3 Lower bound of the probability of successful transmission by either of the hidden nodes in the first scenario in Fig.…”

Section: Throughput Estimationsupporting

confidence: 54%

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A new busy signal-based MAC protocol supporting QoS for ad-hoc networks with hidden nodes

2012

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This article presents three versions of a novel MAC protocol for IEEE 802.11 ad-hoc networks called Busy Signal-based Mechanism turned On (BusySiMOn) (This is an extended version of our conference paper: [15]). The key idea of the proposed solution is based on an intelligent two-step reservation procedure combined with the advantages of EDCA service differentiation. The former alleviates the hidden node problem while the latter ensures compatibility with the IEEE 802.11 standard. Simulation results obtained for saturated and non-saturated network conditions emphasize the advantages of the new protocol over the currently used four-way handshake mechanism in terms of fairness, throughput, and average frame delay.

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Section: Throughput Estimationsupporting

confidence: 54%

“…The remaining unknown variables (s i , p i S , p i B ) can be calculated using the model presented in [14].…”

Section: Throughput Estimationmentioning

confidence: 99%

A new busy signal-based MAC protocol supporting QoS for ad-hoc networks with hidden nodes

2012

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“…If each access category ACi has the same number of nodes n i , that when a node is successfully competing to get the channel and transmitting unmistakably within the appointed time, it belongs to successful transmission. The probability p si of ACi successful transmission reaches a conclusion by analysing the literature [1]:…”

Section: The Relevant Parameter Of Edcamentioning

confidence: 99%

“…When the channel is busy, the node scouts that at least one node is transmitting data packets in the media channel; assuming the probability is p Bi , and we can consider that the probability p Ci of the data frame collision is equal to p Bi , and the relevant probability formula [1] is:…”

Section: （8）mentioning

confidence: 99%

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A Novel Performance Evaluation Model for IEEE 802.11e EDCA

Xie¹,

Li²,

Liu³

2014

Advanced Science and Technology Letters

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Abstract. IEEE 802.11e Enhanced Distributed Channel Access (EDCA) is the most popular standard used in WLAN to support QoS for various real-time service flows. Based on DCF, EDCA introduces some new QoS parameters, which are defined by IEEE 802.11e standard. But how to adjust these parameters is still worth investigating. In the paper, we present a novel saturated throughput analysis of the IEEE 802.11e EDCA. This approach involves a novel analytical model that is an extension to previous works by other authors which provide Markov chain analysis to IEEE 802.11e EDCA. The throughput analysis of our model is evaluated by comparison with NS2 simulations and found the model is accurate and suitable for both basic access and request-to-send/clear-to-send (RTS/CTS) access mechanisms.

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Performance analysis of adaptive MAC protocol in VANETs considering the potential impact on throughput and transmission delays

Nguyen

Khanh

Pham

et al. 2019

Int J Communication

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The existing adaptive multichannel medium access control (MAC) protocols in vehicular ad hoc networks can adjust themselves according to different vehicular traffic densities. These protocols can increase throughput and guarantee a bounded transmission delay for real-time safety applications. However, the optimized control channel interval is computed based on the maximum throughput while ignoring the strict safety packet transmission delay requirements. In this paper, we analyze the effects of the throughput and strict safety packet transmission delay with adaptive multichannel MAC protocols, such as connectivity-aware MAC (CA MAC), adaptive multi-priority distributed MAC (APDM), multi-priority supported p-persistent MAC (MP MAC), and variable control channel interval MAC (VCI) protocols. The performance and analysis results show that: (a) under a low data rate condition, CA MAC does not guarantee a strict safety packet transmission delay; (b) APDM not only satisfies the safety packet transmission requirement, but also provides the lowest safety packet transmission delay; (c) under a high data rate condition, we suggest APDM for use as an adaptive MAC protocol because it allows for high throughput for nonsafety packets and preserves low safety packet transmission delay; (d) under a low data rate condition with various data packet sizes, we suggest MP MAC for high throughput, which satisfies the safety packet transmission requirement; and (e) under low vehicle density and low data rate conditions, VCI can support high throughput. A balance between transmission delay and throughput must be considered to improve the optimal efficiency, reliability, and adaptability. KEYWORDSVANET, multi-channel MAC, throughput, transmission delay Int J Commun Syst. 2020;33:e4172.wileyonlinelibrary.com/journal/dac

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A simple but accurate throughput model for IEEE 802.11 EDCA in saturation and non-saturation conditions

Cited by 55 publications

References 13 publications

A new busy signal-based MAC protocol supporting QoS for ad-hoc networks with hidden nodes

A new busy signal-based MAC protocol supporting QoS for ad-hoc networks with hidden nodes

A Novel Performance Evaluation Model for IEEE 802.11e EDCA

Performance analysis of adaptive MAC protocol in VANETs considering the potential impact on throughput and transmission delays

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