Performance analysis and evaluation of IEEE 802.11e EDCF

Kim, Jong-Deok; Kim, Chong-Kwon

doi:10.1002/wcm.165

Cited by 21 publications

(25 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fixed-point approximation is established by combining a set of equations for the collision probabilities expressed in terms of the transmission probabilities, with an opposing set of equations for the transmission probabilities expressed in terms of the collision probabilities. We obtain the former set of equations by following an approach proposed by Kim and Kim [16], which we summarize below.…”

Section: A Collision Probability Modelmentioning

confidence: 99%

“…Kim and Kim [16], and also Robinson and Randhawa [17], use the concept of slot class to account for the effect of AIFS differentiation on the collision probability. Slot class can be understood with the aid of Fig.…”

Section: A Collision Probability Modelmentioning

confidence: 99%

“…In [16], it is shown that the evolution can be described by a Markov chain. Each state of the Markov chain represents a slot number, and a transition is made at each slot according to whether the slot is idle or marks the beginning of a successful transmission or collision.…”

Section: A Collision Probability Modelmentioning

confidence: 99%

“…To incorporate AIFS differentiation, [8]- [10] resort to 3-D Markov chains, while [11] uses a 4-D Markov chain. In contrast, [16] and [17] develop less complex models based on separate 2-and 1-D Markov chains. Our collision probability model is based on that of [16], but uses an average value analysis in place of the 2-D Markov chain.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, [16] and [17] develop less complex models based on separate 2-and 1-D Markov chains. Our collision probability model is based on that of [16], but uses an average value analysis in place of the 2-D Markov chain. This leads to a more intuitive and simple, yet accurate collision probability model.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Access Delay Model for IEEE 802.11e EDCA

Sakurai

2009

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Abstract-In this paper, we analyse the MAC access delay of the IEEE 802.11e EDCA mechanism under saturation. We develop a detailed analytical model to evaluate the influence of all EDCA differentiation parameters, namely AIFS, CWmin, CWmax and TXOP limit, as well as the backoff multiplier β. We derive explicit expressions for the mean, standard deviation and generating function of the access delay distribution. By applying numerical inversion on the generating function, we are able to efficiently compute values of the distribution. Through comparison with simulation, we confirm the accuracy of our analytical model over a wide range of operating conditions. Using the model, we derive simple asymptotics and approximations for the mean and standard deviation of the access delay, which reveal the salient model parameters for performance under different differentiation mechanisms. We also use the model to study the characteristics of CWmin, AIFS, TXOP, and β differentiation. We find that, though rejected during the standardization process, β differentiation is an effective differentiation mechanism that has some advantages over the other mechanisms.

show abstract

Section: A Collision Probability Modelmentioning

confidence: 99%

Section: A Collision Probability Modelmentioning

confidence: 99%

Section: A Collision Probability Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Access Delay Model for IEEE 802.11e EDCA

Sakurai

2009

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

Evaluation of QoS Provisioning Capabilities of IEEE 802.11E Wireless LANs

Roijers¹,

Berg²,

Fan³

et al. 2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Several studies in literature have investigated the performance of the proposed ieee 802.11e standard for qos differentiation in wlan, but most of them are limited both with respect to the range of the parameter settings and the considered traffic scenarios. The aim of the present study is to systematically investigate (by simulations) the impact of each of the qos differentiation parameters, under more realistic traffic conditions. In particular, we investigate flow-level performance characteristics (e.g., file transfer times) in the situation that the number of active stations varies dynamically in time.

show abstract

A Scheme to Provide Proportionally Differentiated End-to-End Packet Delay in Wireless Multi-hop Ad Hoc Networks

Kong

2006

NETWORKING 2006. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

View full text Add to dashboard Cite

This paper proposes a scheme to provide in a CSMA/CA based multihop wireless ad hoc network, a consistent and accurate proportional differentiation in average end-to-end packet delay. The proposed scheme, called PDMED uses a cross-layer approach that requires a distributed scheduler to adapt to the information from a QoS monitor, a route monitor and a channel monitor. Conceptually, the distributed scheduler dynamically adjusts the backoff duration of a flow based on its instantaneous deviation from the maximum average end-to-end packet delay. This is done such that a flow with a larger deviation from the maximum is given a longer backoff duration to give way to transmissions from other flows with smaller deviations. PDMED has been extensively evaluated through random event simulations using OPNET. The results confirm that it is capable of providing a consistent and accurate proportional differentiation, which is otherwise not achievable under various traffic conditions.

show abstract

Performance analysis and evaluation of IEEE 802.11e EDCF

Cited by 21 publications

References 5 publications

An Access Delay Model for IEEE 802.11e EDCA

An Access Delay Model for IEEE 802.11e EDCA

Evaluation of QoS Provisioning Capabilities of IEEE 802.11E Wireless LANs

A Scheme to Provide Proportionally Differentiated End-to-End Packet Delay in Wireless Multi-hop Ad Hoc Networks

Contact Info

Product

Resources

About