Cano, Christina and Malone, David (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) |
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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) |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6005 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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