MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain
Abstract Potential lack of enough wireless frequency spectrum has guided researchers towards visible light communication (VLC), emerging as a sturdy support to Wi‐Fi. Though the IEEE 802.15.7 standard has comprehensive medium access control (MAC) and physical (PHY) layer specifications, the emerging...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
|
Series: | IET Communications |
Online Access: | https://doi.org/10.1049/cmu2.12199 |
id |
doaj-fabec55581f145888469371538e36ea5 |
---|---|
record_format |
Article |
spelling |
doaj-fabec55581f145888469371538e36ea52021-08-05T03:42:44ZengWileyIET Communications1751-86281751-86362021-08-0115141883189610.1049/cmu2.12199MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chainMonica Bhutani0Brejesh Lall1Abhishek Dixit2Indian Institute of Technology Bharati Vidyapeeth's College of Engineering New DelhiElectrical Department Indian Institute of Technology New DelhiElectrical Department Indian Institute of Technology New DelhiAbstract Potential lack of enough wireless frequency spectrum has guided researchers towards visible light communication (VLC), emerging as a sturdy support to Wi‐Fi. Though the IEEE 802.15.7 standard has comprehensive medium access control (MAC) and physical (PHY) layer specifications, the emerging VLC technology still faces MAC challenges. Further, throughput is one of the major concerns for the VLC personal area network (VPAN) as it directly impacts the network speed. We propose a novel Markov chain model with two clear channel assessments, which proves to be a significant milestone in improving the network throughput for a star topology VPAN. This paper extends the already available analytical models for the MAC layer to efficiently plan and predict the VPAN performance. We also extensively evaluate other network metrics, like network collision probability and end‐to‐end epoch, to demonstrate the proposed model's applicability. We verify the model's analytical results with elaborate MATLAB simulations and obtain good estimation, especially for large network sizes.https://doi.org/10.1049/cmu2.12199 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Monica Bhutani Brejesh Lall Abhishek Dixit |
spellingShingle |
Monica Bhutani Brejesh Lall Abhishek Dixit MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain IET Communications |
author_facet |
Monica Bhutani Brejesh Lall Abhishek Dixit |
author_sort |
Monica Bhutani |
title |
MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain |
title_short |
MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain |
title_full |
MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain |
title_fullStr |
MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain |
title_full_unstemmed |
MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain |
title_sort |
mac layer performance modelling for ieee 802.15.7 based on discrete‐time markov chain |
publisher |
Wiley |
series |
IET Communications |
issn |
1751-8628 1751-8636 |
publishDate |
2021-08-01 |
description |
Abstract Potential lack of enough wireless frequency spectrum has guided researchers towards visible light communication (VLC), emerging as a sturdy support to Wi‐Fi. Though the IEEE 802.15.7 standard has comprehensive medium access control (MAC) and physical (PHY) layer specifications, the emerging VLC technology still faces MAC challenges. Further, throughput is one of the major concerns for the VLC personal area network (VPAN) as it directly impacts the network speed. We propose a novel Markov chain model with two clear channel assessments, which proves to be a significant milestone in improving the network throughput for a star topology VPAN. This paper extends the already available analytical models for the MAC layer to efficiently plan and predict the VPAN performance. We also extensively evaluate other network metrics, like network collision probability and end‐to‐end epoch, to demonstrate the proposed model's applicability. We verify the model's analytical results with elaborate MATLAB simulations and obtain good estimation, especially for large network sizes. |
url |
https://doi.org/10.1049/cmu2.12199 |
work_keys_str_mv |
AT monicabhutani maclayerperformancemodellingforieee802157basedondiscretetimemarkovchain AT brejeshlall maclayerperformancemodellingforieee802157basedondiscretetimemarkovchain AT abhishekdixit maclayerperformancemodellingforieee802157basedondiscretetimemarkovchain |
_version_ |
1721221595044773888 |