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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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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 -