An analytical QoS model for IEEE 802.11-based single and multihop wireless networks

Pourmohammad, Sajjad; Soosahabi, Reza; Perkins, Dmitri; Fekih, Afef

doi:10.1109/iccnc.2014.6785459

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Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Stochastic models however can be useful in approximating network performance metrics like average delay, jitter, throughput etc. (see Pourmohammad, Soosahabi, Perkins, and Fekih (2014)). …”

Section: Dynamical Modelmentioning

confidence: 94%

Stable Queue Management in communication networks

Pourmohammad

Fekih

Perkins

2015

Control Engineering Practice

Self Cite

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“…Stochastic models however can be useful in approximating network performance metrics like average delay, jitter, throughput etc. (see Pourmohammad, Soosahabi, Perkins, and Fekih (2014)). …”

Section: Dynamical Modelmentioning

confidence: 94%

Stable Queue Management in communication networks

Pourmohammad

Fekih

Perkins

2015

Control Engineering Practice

Self Cite

View full text Add to dashboard Cite

“…Choi et al [45] modeled the IEEE 802.11 WLANs as closed queuing networks and derive the performance of the CSMA/CA based on the queuing theory, then they proposed a distributed packet scheduling scheme that improves the short-term fairness to the IEEE 802.11 based networks with a runtime estimation scheme that calculates the number of contending stations. Pourmohammad et al [46] presented a cross-layer analytical model to evaluate QoS parameters such as delay, jitter and throughput in CSMA based networks. The model was developed in queuing theory which well investigates the stochastic behavior of data transmission.…”

Section: Related Workmentioning

confidence: 99%

Queuing Theory Based Co-Channel Interference Analysis Approach for High-Density Wireless Local Area Networks

Zhang

Han

Qian

2016

Sensors

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Increased co-channel interference (CCI) in wireless local area networks (WLANs) is bringing serious resource constraints to today’s high-density wireless environments. CCI in IEEE 802.11-based networks is inevitable due to the nature of the carrier sensing mechanism however can be reduced by resource optimization approaches. That means the CCI analysis is basic, but also crucial for an efficient resource management. In this article, we present a novel CCI analysis approach based on the queuing theory, which considers the randomness of end users’ behavior and the irregularity and complexity of network traffic in high-density WLANs that adopts the M/M/c queuing model for CCI analysis. Most of the CCIs occur when multiple networks overlap and trigger channel contentions; therefore, we use the ratio of signal-overlapped areas to signal coverage as a probabilistic factor to the queuing model to analyze the CCI impacts in highly overlapped WLANs. With the queuing model, we perform simulations to see how the CCI influences the quality of service (QoS) in high-density WLANs.

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Modeling and Performance Analysis of Statistical Priority-based Multiple Access Protocol

Yang

Zhang

et al. 2018

2018 IEEE/CIC International Conference on Communications in China (ICCC)

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An analytical QoS model for IEEE 802.11-based single and multihop wireless networks

Cited by 3 publications

References 19 publications

Stable Queue Management in communication networks

Stable Queue Management in communication networks

Queuing Theory Based Co-Channel Interference Analysis Approach for High-Density Wireless Local Area Networks

Modeling and Performance Analysis of Statistical Priority-based Multiple Access Protocol

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