Service differentiation mechanisms for WLANs

Cetinkaya, Coskun

doi:10.1016/j.adhoc.2009.03.003

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…Therefore, any fairness algorithms must differentiate nodes and provide proportional fairness based on network nodes weight. In Reference [24], we show that by assigning different contention window size, we can provide different weight in wireless LANs. When we apply this concept to the MFA, it provides different weight by (1) assigning the contention window size based on their weight, and (2) when a node become active, it transmits multiple packets based on its weight before becoming passive while its children become active after detecting multiple packet transmissions of the their parent.…”

Section: Simulation Resultsmentioning

confidence: 99%

Achieving per Node Throughput Fairness in a Single-Branch of Mesh Networks

Cetinkaya

2014

JNW

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Providing per node throughput fairness is an important challenge for Wireless Mesh Networks (WMNs) in order to achieve serviceability of the entire system. However, existing protocols provide poor performance results for nodes located more than one hop away from the gateways when the network load increases. In some cases, single-hop nodes dominate the network causing throughput starvations to multi-hop nodes. In this paper, we propose a novel and efficient Mesh Fairness Algorithm (MFA) to provide per node throughput fairness with very simple-state information that considers the packets' owners and the parents activity. Our key techniques for MAC coordination is that each node adjust its backoff counter based on activities of its parent and children. Additionally, we utilize scheduling model to establish a benchmark and compare our result with the developed benchmark. The simulation results indicate that the MFA provides per node throughput fairness in a single-branch of mesh networks with a small amount of network throughput degradation and packet overhead.

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Section: Simulation Resultsmentioning

confidence: 99%

Achieving per Node Throughput Fairness in a Single-Branch of Mesh Networks

Cetinkaya

2014

JNW

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“…This medium access control technique works perfectly well for best effort service but is unable to support multimedia applications with strict QoS requirements [1][2][3]. A number of simple priority schemes can be easily implemented with minor modifications on DCF and the outcomes seem encouraging [6][7][8][9]. However, such enhancements on the MAC protocol imply the need to replace the access points (APs) and hence incurring additional cost and time.…”

Section: Introductionmentioning

confidence: 99%

“…• It provides ease of control and management by means of having a centralized access control at the gateway/router side. • In contrast to [6][7][8][9][10][11][12][13][14][15] which only offer simulation studies, L3-ACAS can be easily implemented using COTS hardware. This will be further discussed in the later section.…”

Section: Introductionmentioning

confidence: 99%

A Practical Layer 3 Admission Control and Adaptive Scheduling (L3-ACAS) for COTS WLANs

Pang

Chieng

Ahmad

2010

Wireless Pers Commun

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We propose a practical approach to provide QoS over the existing best-effort Commercial On The Shelf (COTS) IEEE802.11 WLANs using Layer 3 Admission Control and Adaptive Scheduling (L3-ACAS) scheme. This approach enables operators with existing large-scale WLAN deployments to offer QoS control over their networks with minimal disruption, capital expenditure (CAPEX) or infrastructure upgrade. Extensive simulation studies show that with this scheme, the total goodput, flows throughput ratio, packets delay and jitter of the real-time applications such as VoIP and real-time video can be improved significantly. We have also successfully implemented a testbed to evaluate our architecture using the existing COTS hardware and the open source Linux components.

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“…The performance analysis of IEEE 802.11e-EDCA network can be achieved by either simulation and experiment (see Al-Karaki and Chang, 2004;Hamidian and Korner, 2006;Fan, 2007;Gallardo et al, 2007;Lee et al, 2007b;Ge et al, 2007;Lin and Wu, 2007;Hamidian and Korner, 2008;Yu et al, 2009;Varposhti and Movahhedinia, 2009;Thangaraj et al, 2010;Cetinkaya, 2010;Lagkas et al, 2013;Korner et al, 2011;Camps-Mur et al, 2012) or by mathematical modelling (see Jeong et al, 2004;Kong et al, 2004;Vassis and Kormentzas, 2005;Xiao, 2005;Banchs and Vollero, 2006;Tao and Panwar, 2006;Banchs and Serrano, 2007;Serrano et al, 2007;Xiong and Mao, 2007;Patras et al, 2009;Pan and Wu, 2009;Hu et al, 2011;Kosek-Szott et al, 2011;Min et al, 2011;Liu and Saadawi, 2011;Hu et al, 2012;Yao et al, 2013;Yazid et al, 2015a). Mathematical modelling is an abstract representation of the system behaviour, frequently in steady state (Puigjaner, 2003).…”

Section: Introductionmentioning

confidence: 99%

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

Yazid

Bouallouche-Medjkoune

Aı̈ssani

2017

IJCCBS

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Performance evaluation of the IEEE 802.11e network has been the subject of several research papers. Especially, the transmission opportunity limit (TXOPLimit) has been proven efficient for achieving differentiated quality of service (QoS) and improving the wireless bandwidth utilisation. However, most existing analytical models have been developed under unrealistic assumption that the wireless channel is error-free. Hence, the efficiency and the performance level of the TXOPLimit in an error-prone channel are questionable. In this paper, we aim at proposing a new Markov chain model of the IEEE 802.11e network including the TXOPLimit and the packet error rate (PER). Then, we derive the saturation throughput of the IEEE 802.11e network in cases of aggregated and non-aggregated packets. The obtained results show that, the TXOPLimit efficiency is highly degraded under the effect of bit error rate (BER) and packet length.

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Service differentiation mechanisms for WLANs

Cited by 9 publications

References 20 publications

Achieving per Node Throughput Fairness in a Single-Branch of Mesh Networks

Achieving per Node Throughput Fairness in a Single-Branch of Mesh Networks

A Practical Layer 3 Admission Control and Adaptive Scheduling (L3-ACAS) for COTS WLANs

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

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