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Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization. / Tian, D.; Zhou, J.; Chen, M.; Sheng, Z.; Ni, Q.; Leung, V. C. M.

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. p. 90-98.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Tian, D, Zhou, J, Chen, M, Sheng, Z, Ni, Q & Leung, VCM 2018, Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization. in IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, pp. 90-98. https://doi.org/10.1109/INFOCOM.2018.8485868

APA

Tian, D., Zhou, J., Chen, M., Sheng, Z., Ni, Q., & Leung, V. C. M. (2018). Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications (pp. 90-98). IEEE. https://doi.org/10.1109/INFOCOM.2018.8485868

Vancouver

Tian D, Zhou J, Chen M, Sheng Z, Ni Q, Leung VCM. Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE. 2018. p. 90-98 https://doi.org/10.1109/INFOCOM.2018.8485868

Author

Tian, D. ; Zhou, J. ; Chen, M. ; Sheng, Z. ; Ni, Q. ; Leung, V. C. M. / Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization. IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. pp. 90-98

Bibtex

@inproceedings{63a521f6c75d42b581f4b4e502590863,
title = "Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization",
abstract = "Vehicular ad hoc networks (VANETs) have a potential to promote vehicular telematics and infotainment applications, where a key and challenging issue is the design of robust and efficient vehicular content transmissions to combat the lossy inter-vehicle links. In this paper, we focus on the robust optimization of content transmissions over cooperative VANETs. We first derive a stochastic model for estimation of time-varying inter-vehicle distance, which is dependent of the vehicle real-time kinematics and the distribution of the initial space headway. With this model, we analytically formulate the transient inter-vehicle connectivity assuming Nakagami fading channels for the physical (PHY) layer. We also model the contention nature of the medium access control (MAC) layer, on which we are based to evaluate the throughput achieved by each vehicle equipped with dedicated short-range communication (DSRC). Combining these models, we derive a closed-formed expression for the upper bound of the probability of failure in intact-content transmissions. Based upon this theoretical bound, we develop a robust optimization model for assigning content data traffic among different cooperative transmission paths, where the objective is to minimize the maximum likelihood of unsuccessful content transmissions over the cooperative VANET. We mathematically transform the optimization model to another equivalent form, such that it can be practically deployed. Finally, we validate our theoretical development with extensive simulations. Numerical results are also provided to confirm the power of cooperation in boosting the VANET performance as well as demonstrate the advantage of the proposed robust optimization in terms of content data reception reliability.",
keywords = "access protocols, Nakagami channels, optimisation, probability, telecommunication network reliability, vehicular ad hoc networks, cooperative content transmission, content data reception reliability, VANET performance, content data traffic, robust optimization model, intact-content transmissions, medium access control layer, contention nature, physical layer, Nakagami fading channels, transient inter-vehicle connectivity, initial space headway, real-time kinematics, time-varying inter-vehicle distance, lossy inter-vehicle links, vehicular telematics, Fading channels, Robustness, Optimization, Stochastic processes, Mathematical model, Electronic mail, Relays",
author = "D. Tian and J. Zhou and M. Chen and Z. Sheng and Q. Ni and Leung, {V. C. M.}",
note = "{\textcopyright}2018IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2018",
doi = "10.1109/INFOCOM.2018.8485868",
language = "English",
pages = "90--98",
booktitle = "IEEE INFOCOM 2018 - IEEE Conference on Computer Communications",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization

AU - Tian, D.

AU - Zhou, J.

AU - Chen, M.

AU - Sheng, Z.

AU - Ni, Q.

AU - Leung, V. C. M.

N1 - ©2018IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2018

Y1 - 2018

N2 - Vehicular ad hoc networks (VANETs) have a potential to promote vehicular telematics and infotainment applications, where a key and challenging issue is the design of robust and efficient vehicular content transmissions to combat the lossy inter-vehicle links. In this paper, we focus on the robust optimization of content transmissions over cooperative VANETs. We first derive a stochastic model for estimation of time-varying inter-vehicle distance, which is dependent of the vehicle real-time kinematics and the distribution of the initial space headway. With this model, we analytically formulate the transient inter-vehicle connectivity assuming Nakagami fading channels for the physical (PHY) layer. We also model the contention nature of the medium access control (MAC) layer, on which we are based to evaluate the throughput achieved by each vehicle equipped with dedicated short-range communication (DSRC). Combining these models, we derive a closed-formed expression for the upper bound of the probability of failure in intact-content transmissions. Based upon this theoretical bound, we develop a robust optimization model for assigning content data traffic among different cooperative transmission paths, where the objective is to minimize the maximum likelihood of unsuccessful content transmissions over the cooperative VANET. We mathematically transform the optimization model to another equivalent form, such that it can be practically deployed. Finally, we validate our theoretical development with extensive simulations. Numerical results are also provided to confirm the power of cooperation in boosting the VANET performance as well as demonstrate the advantage of the proposed robust optimization in terms of content data reception reliability.

AB - Vehicular ad hoc networks (VANETs) have a potential to promote vehicular telematics and infotainment applications, where a key and challenging issue is the design of robust and efficient vehicular content transmissions to combat the lossy inter-vehicle links. In this paper, we focus on the robust optimization of content transmissions over cooperative VANETs. We first derive a stochastic model for estimation of time-varying inter-vehicle distance, which is dependent of the vehicle real-time kinematics and the distribution of the initial space headway. With this model, we analytically formulate the transient inter-vehicle connectivity assuming Nakagami fading channels for the physical (PHY) layer. We also model the contention nature of the medium access control (MAC) layer, on which we are based to evaluate the throughput achieved by each vehicle equipped with dedicated short-range communication (DSRC). Combining these models, we derive a closed-formed expression for the upper bound of the probability of failure in intact-content transmissions. Based upon this theoretical bound, we develop a robust optimization model for assigning content data traffic among different cooperative transmission paths, where the objective is to minimize the maximum likelihood of unsuccessful content transmissions over the cooperative VANET. We mathematically transform the optimization model to another equivalent form, such that it can be practically deployed. Finally, we validate our theoretical development with extensive simulations. Numerical results are also provided to confirm the power of cooperation in boosting the VANET performance as well as demonstrate the advantage of the proposed robust optimization in terms of content data reception reliability.

KW - access protocols

KW - Nakagami channels

KW - optimisation

KW - probability

KW - telecommunication network reliability

KW - vehicular ad hoc networks

KW - cooperative content transmission

KW - content data reception reliability

KW - VANET performance

KW - content data traffic

KW - robust optimization model

KW - intact-content transmissions

KW - medium access control layer

KW - contention nature

KW - physical layer

KW - Nakagami fading channels

KW - transient inter-vehicle connectivity

KW - initial space headway

KW - real-time kinematics

KW - time-varying inter-vehicle distance

KW - lossy inter-vehicle links

KW - vehicular telematics

KW - Fading channels

KW - Robustness

KW - Optimization

KW - Stochastic processes

KW - Mathematical model

KW - Electronic mail

KW - Relays

U2 - 10.1109/INFOCOM.2018.8485868

DO - 10.1109/INFOCOM.2018.8485868

M3 - Conference contribution/Paper

SP - 90

EP - 98

BT - IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

PB - IEEE

ER -