Engineering and Physical Sciences Research Council. Grant Number: EP/G012628/

Gilmour, S.G.

Parker, Ben M.

Schormans, J

English

Southampton (e-Prints Soton)

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Adaptive optimization of IEEE 802.11 DCF based on Bayesian estimation of the number of competing terminals.

Analysing the transition between unsaturated and saturated operating conditions in 802.11 network scenarios.

Comparison of ieee 802.11 and ieee 802.15. 4 for future green multichannel multi-radio wireless sensor networks.

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Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. Federal Reserve Bank of Minneapolis, Research Dept.,

Experimental performance evaluation and frame aggregation enhancement in ieee 802.11 n wlans.

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Idle sense: an optimal access method for high throughput and fairness in rate diverse wireless LANs.

IEEE 802.11-saturation throughput analysis.

Markov chains and mixing times.

Mean ﬁeld markov models of wireless local area networks. Markov Processes and Related Fields,

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Performance analysis of contention based medium access control protocols. Information Theory,

Performance analysis of IEEE 802.11e contention-based channel access.

Performance analysis of the IEEE 802. 11 distributed coordination function.

Random access game and medium access control design.

Random multi-access algorithms - a mean ﬁeld analysis.

Saturation performance assessment of diﬀerentiation services supported in ieee 802.11 e.

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Throughput analysis and optimal conﬁguration of 802.11 e EDCA.

Veriﬁcation of common 802.11 MAC model assumptions. Passive and Active Network Measurement,

Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

The IEEE 802.11 standard uses Carrier Sense Multiple Access with Collision Avoidance to avoid multiple devices simultaneous transmitting on a shared transmission medium. In this study, Bianchi's model for IEEE 802.11 is studied and the authors suggest some important improvements. Firstly, they expand the state space of the Markov chain to model the evolution of a network, instead of a single device. Secondly, they relax the assumption that the network must be saturated. Thirdly, they extend the model to allow for heterogeneous devices with different transmission profiles. They use this new model to perform Monte Carlo simulation to discover the impact of the minimum and maximum contention window times (CWmin and CWmax) in the standard on measures of throughput in a network. By exhaustive search over a parameter space, they find optimal values for these devices for any given network model, and show that the recommended parameters in the IEEE 802.11 standard are not optimal. They consider both average and minimum throughput, and show that increases in throughput of around 8% are possible for saturated networks, and that even greater improvements are possible for any case in which the traffic sources are not homogeneous, that is, any real scenario.</p

Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

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