research-article

Throughput modeling for multi-rate IEEE 802.11 vehicle-to-infrastructure networks with asymmetric traffic

Authors:

Benjamin T. Garrison,

Kuang-Ching WangAuthors Info & Claims

MSWiM '11: Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

Pages 299 - 306

https://doi.org/10.1145/2068897.2068950

Published: 31 October 2011 Publication History

Abstract

This paper proposes an analytical throughput model for IEEE 802.11-based vehicle-to-infrastructure networks with asymmetric traffic. Previous models assume all nodes use ad-hoc mode with uniform traffic without mobility. This model is developed using the fixed-point analysis, which assumes asymmetric traffic loads for AP and clients, and both types of traffic are nonsaturated. The mobility effect is also considered, which is modeled as a throughput scaling factor taking account of velocity and communication range. Numerical evaluation compared with Bianchi's model, verifies the proposed model and quantifies the difference caused by asymmetric traffic, and the throughput with mobile nodes is evaluated with the increase in velocity.

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Cited By

Cebe MAkkaya KNotare MCoutinho R(2017)Utilizing Advanced Metering Infrastructure to Build a Public Key Infrastructure for Electric VehiclesProceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/3132340.3132359(91-98)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3132340.3132359
Onireti OImran AImran MTafazolli R(2016)Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2015.248281865:9(7122-7135)Online publication date: Sep-2016
https://doi.org/10.1109/TVT.2015.2482818
Lim JChang YAlias MLoo J(2016)Cognitive radio network in vehicular ad hoc network (VANET): A surveyCogent Engineering10.1080/23311916.2016.11911143:1(1191114)Online publication date: 20-Jun-2016
https://doi.org/10.1080/23311916.2016.1191114
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Index Terms

Throughput modeling for multi-rate IEEE 802.11 vehicle-to-infrastructure networks with asymmetric traffic

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cover image ACM Conferences

MSWiM '11: Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

October 2011

462 pages

ISBN:9781450308984

DOI:10.1145/2068897

General Chair:
Ahmed Helmy
University of Florida, USA
,
Program Chairs:
Bjorn Landfeldt
University of Sydney, Australia
,
Luciano Bononi
University of Bologna, Italy

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 31 October 2011

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MSWiM '11: The 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 31 - November 4, 2011

Florida, Miami, USA

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Cited By

Cebe MAkkaya KNotare MCoutinho R(2017)Utilizing Advanced Metering Infrastructure to Build a Public Key Infrastructure for Electric VehiclesProceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/3132340.3132359(91-98)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3132340.3132359
Onireti OImran AImran MTafazolli R(2016)Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2015.248281865:9(7122-7135)Online publication date: Sep-2016
https://doi.org/10.1109/TVT.2015.2482818
Lim JChang YAlias MLoo J(2016)Cognitive radio network in vehicular ad hoc network (VANET): A surveyCogent Engineering10.1080/23311916.2016.11911143:1(1191114)Online publication date: 20-Jun-2016
https://doi.org/10.1080/23311916.2016.1191114
Xu KWang KAmin RMartin JIzard R(2015)A Fast Cloud-Based Network Selection Scheme Using Coalition Formation Games in Vehicular NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2014.237995364:11(5327-5339)Online publication date: Nov-2015
https://doi.org/10.1109/TVT.2014.2379953
Xu KSampathkumar SWang KRamanathan P(2013)Network Coding for Efficient Broadband Data Delivery in Infrastructure-Based Vehicular Networks with OpenFlowProceedings of the 2013 Second GENI Research and Educational Experiment Workshop10.1109/GREE.2013.19(56-60)Online publication date: 20-Mar-2013
https://dl.acm.org/doi/10.1109/GREE.2013.19
Xu KOrlik PNagai YSaito M(2012)Location Based Data Delivery Schedulers for Vehicle Telematics Applications2012 IEEE Vehicular Technology Conference (VTC Fall)10.1109/VTCFall.2012.6399191(1-5)Online publication date: Sep-2012
https://doi.org/10.1109/VTCFall.2012.6399191

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