Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols

Hagelstein, B; Abolhasan, M; Franklin, D; Safaei, F; Ni, W

Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols

Hagelstein, B Abolhasan, M

Franklin, D

Safaei, F Ni, W

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Mobile Computing, 2016, 15 (1), pp. 32 - 44
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Hagelstein, B	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.contributor.author	Franklin, D https://orcid.org/0000-0002-9563-5943	en_US
dc.contributor.author	Safaei, F	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	IEEE Transactions on Mobile Computing, 2016, 15 (1), pp. 32 - 44	en_US
dc.identifier.issn	1536-1233	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34974
dc.description.abstract	© 2015 IEEE. Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of ± 1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0879507
dc.relation.ispartof	IEEE Transactions on Mobile Computing	en_US
dc.relation.isbasedon	10.1109/TMC.2015.2409879	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	15	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

© 2015 IEEE. Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of ± 1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator.

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http://hdl.handle.net/10453/34974