Proportional fairness in MAC layer channel access of IEEE 802.11s EDCA based wireless mesh networks

Chakraborty, Sandip; Swain, Pravati; Nandi, Sukumar

doi:10.1016/j.adhoc.2012.08.003

Cited by 14 publications

(8 citation statements)

References 36 publications

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“…where all packets are transmitted through the AP. We consider a single-hop 802.11 WLAN with N clients able to select from a fixed set of possible PHY bit rates for transmission, for instance {6, 9,12,18,24,36,48 and 54} Mb/s available with the 5 GHz OFDM PHY layer (802.11a) [2]. In our analysis we consider all stations are saturated, i.e.…”

Section: Analytical Modelmentioning

confidence: 99%

Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi

et al. 2016

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Recent experimental studies confirm the prevalence of the widely known performance anomaly problem in current Wi-Fi networks, and report on the severe network utility degradation caused by this phenomenon. Although a large body of work addressed this issue, we attribute the refusal of prior solutions to their poor implementation feasibility with off-the-shelf hardware and their imprecise modelling of the 802.11 protocol. Their applicability is further challenged today by very high throughput enhancements (802.11n/ac) whereby link speeds can vary by two orders of magnitude. Unlike earlier approaches, in this paper we introduce the first rigorous analytical model of 802.11 stations' throughput and airtime in multi-rate settings, without sacrificing accuracy for tractability. We use the proportional-fair allocation criterion to formulate network utility maximisation as a convex optimisation problem for which we give a closed-form solution. We present a fully functional light-weight implementation of our scheme on commodity access points and evaluate this extensively via experiments in a real deployment, over a broad range of network conditions. Results demonstrate that our proposal achieves up to 100% utility gains, can double video streaming goodput and reduces TCP download times by 8x.

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Section: Analytical Modelmentioning

confidence: 99%

Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi

et al. 2016

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“…The probabilistic approach [26] provides the proportional fairness without having to solve an optimization problem. Load estimation strategy is used in this approach to estimate the total traffic load for each node, and thus adjusting the contention window according to the difference between the current share of the channel and the required one.…”

Section: Related Workmentioning

confidence: 99%

FMAC: Fair Mac Protocol for Achieving Proportional Fairness in Multi-Rate WSNs

Al-Ratta¹,

Al-Rodhaan

2015

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In a multi-rate wireless environment, slow nodes occupy the channel for longer time than fast nodes and thus the total throughput of the network will be reduced. In this research, we study the problem of fairness in multi-rate wireless sensor networks. To improve the fairness, we propose a new protocol, FMAC (Fair MAC protocol) that is based on IEEE 802.11 MAC protocol to achieve proportional fairness between all nodes. FMAC protocol includes medium delay periods within Backoff algorithm to utilize the idle slots of time and reduce the number of collisions and then number of retransmissions, and thus reducing the energy consumption, which is very critical in wireless sensor networks. The experimental results show that transmissions become faster with less collisions and power consumption when applying FMAC, while the aggregated throughput and proportional fairness are increased. The detailed performance evaluation and comparisons are provided using the simulation.

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“…In [23], to solve the fairness problem in Wireless Mesh Networks (WMNs), the authors proposed a probabilistic approach to provide proportional fairness without solving global non-linear and non-concave optimization. Their Simulation result shows that the proposed solution is better than the standard IEEE 802.11s based EDCA MAC in terms of fairness and throughput.…”

Section: Related Workmentioning

confidence: 99%

Genetic Algorithm based Approach to Enhance Network Performance in Multi-rate WLANs

Al-Rodhaan

2015

TNC

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In a multi-rate 802.11 WLAN environment, the users' fairness and network throughput is a trade-off problem. Although there are many valuable research papers related to this optimization problem, up to date, none of those researches could offer a rational, clearly designed mathematical model which can be easily and widely implemented using the well known AI algorithms. Thus our research aims to fill such gap. In this paper we define the problem as an informed search NP-hard problem in a practical scenario, and then we will propose a new intuitive simplified mathematical model called Simplified Coefficient of Variation (SCV), by using Genetic Algorithm to implement the SCV model, through controlling the power of Access Points to optimize and enhance the performance of the network. The simulation gives excellent results that indicate our model is efficient and superior to existing method. After the experiment analysis, we use software SAS to further reveal the relationships of three indicators to illustrate the essence of our algorithm and an existing algorithm.

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Proportional fairness in MAC layer channel access of IEEE 802.11s EDCA based wireless mesh networks

Cited by 14 publications

References 36 publications

Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi

Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi

FMAC: Fair Mac Protocol for Achieving Proportional Fairness in Multi-Rate WSNs

Genetic Algorithm based Approach to Enhance Network Performance in Multi-rate WLANs

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