On Efficiency and Validity of Previous Homeplug MAC Performance Analysis


Cano, C. and Malone, D. (2015) On Efficiency and Validity of Previous Homeplug MAC Performance Analysis. Working Paper. Elsevier, Preprint accepted for publication.

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Abstract

The Medium Access Control protocol of Power Line Communication networks (defined in Homeplug and IEEE 1901 standards) has received relatively modest attention from the research community. As a consequence, there is only one analytic model that complies with the standardised MAC procedures and considers unsaturated conditions. We identify two important limitations of the existing analytic model: high computational expense and predicted results just prior to the predicted saturation point do not correspond to long-term network performance. In this work, we present a simplification of the previously defined analytic model of Homeplug MAC able to substantially reduce its complexity and demonstrate that the previous performance results just before predicted saturation correspond to a transitory phase. We determine that the causes of previous misprediction are common analytical assumptions and the potential occurrence of a transitory phase, that we show to be of extremely long duration under certain circumstances. We also provide techniques, both analytical and experimental, to correctly predict long-term behaviour and analyse the effect of specific Homeplug/IEEE 1901 features on the magnitude of misprediction errors.

Item Type: Monograph (Working Paper)
Additional Information: This is the preprint of the article which has been accepted for publication in Computer Networks (ISSN 1389-1286), the preview version of which is available at doi:10.1016/j.comnet.2015.03.005 . This work has been partially supported by the Science Foundation Ireland grant 08/SRC/I1403 and 07/SK/I1216a.
Keywords: Power Line Communications; Homeplug; IEEE 1901; mean field analysis; decoupling approximation; Priority resolution scheme;
Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID: 6005
Identification Number: 10.1016/j.comnet.2015.03.005
Depositing User: Dr. David Malone
Date Deposited: 08 Apr 2015 15:51
Journal or Publication Title: Computer Networks
Publisher: Elsevier
Refereed: Yes
Funders: Science Foundation Ireland (SFI)
URI:

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