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2015 | OriginalPaper | Buchkapitel

Revisiting IEEE 802.11 Backoff Process Modeling Through Information Entropy Estimation

verfasst von : Faisal Iradat, Sayeed Ghani

Erschienen in: Wireless Internet

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a more accurate model, than many existing models, to evaluate the throughput performance of the IEEE 802.11 distributed coordination function. The proposed model is based on a novel approach to modeling the backoff process where the average backoff window size is measured through information entropy estimation. Our approach provides a better description of the backoff process as compared to some of the models available in the literature. The behavior of the proposed model is validated via simulations and compared against that of some known models across a wide range of settings.

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Fußnoten
1
In statistical mechanics, the macrostate refers to the macroscopic properties of the system.
 
2
A specific microscopic configuration given for a given macrostate.
 
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Metadaten
Titel
Revisiting IEEE 802.11 Backoff Process Modeling Through Information Entropy Estimation
verfasst von
Faisal Iradat
Sayeed Ghani
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-18802-7_5

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