Mitigating 802.11 Mac Anomaly Using SNR To Control Backoff Contention Window

Branquinho, Omar Carvalho; Reggiani, N.; Ferreira, Daniel Miranda

doi:10.1109/icwmc.2006.61

Cited by 8 publications

(8 citation statements)

References 3 publications

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“…A substantive research on mitigating the effect of MAC layer performance anomaly in multi-rate WLANs has been presented in literature. The work proposed in [2][11] [13] [15] are of premier importance to this research study. In [13] authors have proposed an algorithm for performance anomaly reduction using open flow access points.…”

Section: Related Workmentioning

confidence: 99%

“…This assertion ensures that the effect of MAC layer performance anomaly can be substantially reduced by using time-varying and time-correlated channels with Rayleigh fading effects. The work presented in [2] mitigates the effect of MAC anomaly by controlling the value of backoff contention window based on signal strength of a node. Authors have concluded that, lower values of contention window for nodes having higher SNR considerably reduces the effect of MAC anomaly.…”

Section: Related Workmentioning

confidence: 99%

“…Сглаживание аномалий производительности сетей Wi-Fi на уровне MAC путем адаптивного выделения каналов 1 А. Хуссейн, ORCID: 0000-0001-6095-1260 <abid.hussain@seecs.edu.pk> 2 М. Сафьян, ORCID: 0000-0003-4501-9699 <msafyan@gcul.edu.pk 3 С. Сарвар, ORCID: 0000-0001-9714-6580 <sohail.sarwar@seecs.edu.pk> 3 З.Уль Кайум, ORCID: 0000-0003-4230-6895 <zia@aiou.edu.pk> 4,5 М. Икбал, ORCID: 0000-0002-8438-6726 <m.iqbal@lsbu.uk> 1 Н.А. Сакиб, ORCID: 0000-0003-1976-0643 <nazrabbas@eme.edu.pk> 1 Школа электротехники и информатики, Национальный университет наук и технологий, Пакистан 2 Правительственный университет колледжа, Лахор, Пакистан 3 Университет Гуджарата, Пакистан 4 Лондонский университет Саут Бэнк, Великобритания 5 Университет Эссекса, Великобритания…”

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Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization

Hussain¹,

Safyan²,

Qayyum³

et al. 2019

Proceedings of ISP RAS

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802.11 wireless local area networks (WLANs) can support multiple data rates at physical layer by using adaptive modulation and coding (AMC) scheme. However, this differential data rate capability introduces a serious performance anomaly in WLANs. In a network comprising of several nodes with varying transmission rates, nodes with lower data rate (slow nodes) degrade the throughput of nodes with higher transmission rates (fast nodes). The primary source of this anomaly is the channel access mechanism of WLANs which ensures long term equal channel access probability to all nodes irrespective of their transmission rates. In this work, we investigate the use of adaptable width channelization to minimize the effect of this absurdity in performance. It has been observed that surplus channel-width due to lower transmission rate of slow nodes can be assigned to fast nodes connected to other access points (APs), which can substantially increase the overall throughput of the whole network. We propose a medium access control (MAC) layer independent anomaly prevention (MIAP) algorithm that assigns channel-width to nodes connected with different APs based on their transmission rate. We have modeled the effect of adaptable channelization and provide lower and upper bounds for throughput in various network scenarios. Our empirical results indicate a possible increase in network throughput by more than 20% on employing the proposed MIAP algorithm.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization

Hussain¹,

Safyan²,

Qayyum³

et al. 2019

Proceedings of ISP RAS

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“…Our objects of study are the works regarding workbench setups to measure, control and mitigate this anomaly. Branquinho et al (2006) successfully identified and mitigated the MAC anomaly using Signal to Noise Rate (SNR) measures in a controlled workbench environment. Guirardello (2008) demonstrated the possible use of QoS, Quality of Service (Oliveira et al, 2015), to mitigate a MAC Anomaly.…”

Section: Introductionmentioning

confidence: 99%

Embedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n Networks

Bevilacqua¹,

Oliveira²,

Bedicks³

et al. 2015

American Journal of Applied Sciences

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IEEE 802.11 standard is largely used anywhere as a cheap way to access internet, but the majority of devices used does not provide a standard way to manage them. Mobile stations competing for access point may causes a general wireless network failure, known as the "MAC Anomaly". It is presented here an access point with modified firmware, that monitors wireless conections´s quality and has a programmable capability allowing to do network management in a standardized manner, using SNMP for example. In this article, embedded Linux "OpenWRT" installed in a very cheap and reduced size hardware was used. By means of Bourne shell script programming, it is possible to collect all important operating parameters and data of the access point. From this, its possible to gain considerable control over it. IEEE 802.11 (Wi-Fi) access point devices are routers, while embedded Linux has routing capabilities. Thus, it is easy to implement traffic policies by means of Bourne shell script programming. Traffic shapping is one of the acces point´s capabilities successfuly tested and demonstrated in this study. MAC anomaly detection in IEEE 802.11 networks can be easily implemented by means of scripts as well. It was collected and plotted network throughput data, becoming possible to observe MAC anomaly in visual charts. A matemathic model to apply on the collected data of network throughput is under study, aiming to identify the anomaly through calculations. The object of the current study is to integrate everything: Measurements of operation data (network throughput in Mbit/s), identification of the MAC anomaly and its immediate mitigation. The result was the conception of an integrated device to measure, identify and mitigate MAC anomaly in a test field and therefore restore network throughput by representing a gain of 42.5216%.

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“…Hence when the Medium Access Control (MAC) layer of the IEEE802.11e standard priories a STA with a low transmission rate (because of the type of its content), it can jeopardize the access of other STAs with better transmission capacities and better SNRs, but with contents of lower priority. Consequently, a second anomaly is created (Branquinho et al, 2006), which can be understood as a priorization of the first anomaly of IEEE802.11 networks. In this context, this study proposes a QoS policy based on the IEEE802.11e standard implementation, aiming to optimize the usage of wireless networks resources.…”

Section: Introductionmentioning

confidence: 99%

Quality of Service Policy for IEEE 802.11 Networks with Service Rate Selection based on Fairness Index

Mota¹

2011

Journal of Computer Science

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Problem statement: The IEEE802.11 standard states that all stations have the same probability of accessing the network, but does not consider important parameters such as transmission rates and signal-to-noise ratios. However, these networks present an anomaly that allows a station with a low transmission rate to use the communication channel for a long time. Approach: In this context, this study presents a Quality of Service (QoS) policy, based on the implementation of the IEEE802.11e standard, that aims to keep or find the most fair scenario for IEEE802.11 networks. Hence, an algorithm for determining a fairness index is proposed based on physical parameters such as connection rates, service types and necessary conditions for the communication service. Results: The results obtained using the NS2 simulation software show that the proposed QoS policy was able to improve the network throughput or, at least, to keep a condition similar to the original one, when the proposed policy was not applied. Conclusion: All simulated scenarios presented a network performance gain or, at least, a similar result when compared to the results obtained when the IEEE802.11 standard was applied.

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Mitigating 802.11 Mac Anomaly Using SNR To Control Backoff Contention Window

Cited by 8 publications

References 3 publications

Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization

Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization

Embedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n Networks

Quality of Service Policy for IEEE 802.11 Networks with Service Rate Selection based on Fairness Index

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