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Autonomous Vehicles (AVs) generated a plethora of data prior to support various vehicle applications.
1912
Earlier work this paper cites.
M. Abuelela and S. Olariu, “Taking vanet to the clouds,” in Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia . ACM, 2010, pp. 6–13
2010
Earlier work this paper cites.
M. Eltoweissy, S. Olariu, and M. Younis, “Towards autonomous vehicular clouds,” in International Conference on Ad Hoc Networks . Springer, 2010, pp. 1–16
2010
Earlier work this paper cites.
I. S. Association et al. , “802.11 p-2010-ieee standard for information technology-local and metropolitan area networks-specific requirements-part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications amendment 6: Wireless access in vehicular environments,” URL: http://standards. ieee. org/findstds/standard/802.11 p-2010. html , 2010
2010
Earlier work this paper cites.
S. Olariu, I. Khalil, and M. Abuelela, “Taking vanet to the clouds,” International Journal of Pervasive Computing and Communications , vol. 7, no. 1, pp. 7–21, 2011
2011
Earlier work this paper cites.
J. B. Kenney, “Dedicated short-range communications (dsrc) standards in the united states,” Proceedings of the IEEE , vol. 99, no. 7, pp. 1162–1182, July 2011
2011
Earlier work this paper cites.
W. Viriyasitavat, F. Bai, and O. K. Tonguz, “Dynamics of network connectivity in urban vehicular networks,” IEEE Journal on Selected Areas in Communications , vol. 29, no. 3, pp. 515–533, 2011
2011
Earlier work this paper cites.
M. Gerla, “Vehicular cloud computing,” in 2012 The 11th annual mediterranean ad hoc networking workshop (Med-Hoc-Net) . IEEE, 2012, pp. 152–155
2012
Earlier work this paper cites.
D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, “Recent development and applications of SUMO - Simulation of Urban MObility,” International Journal On Advances in Systems and Measurements , vol. 5, no. 3&4, pp. 128–138, December 2012. [Online]. Available: http://elib.dlr.de/80483/
2012
Earlier work this paper cites.
T. Taleb and A. Ksentini, “Follow me cloud: interworking federated clouds and distributed mobile networks,” IEEE Network , vol. 27, no. 5, pp. 12–19, 2013
2013
Earlier work this paper cites.
T. Wang, L. Song, Z. Han, and B. Jiao, “Dynamic popular content distribution in vehicular networks using coalition formation games,” IEEE Journal on Selected Areas in Communications , vol. 31, no. 9, pp. 538–547, Sep. 2013
2013
Earlier work this paper cites.
J. Liu, T. Zhao, S. Zhou, Y. Cheng, and Z. Niu, “Concert: a cloud-based architecture for next-generation cellular systems,” IEEE Wireless Communications , vol. 21, no. 6, pp. 14–22, 2014
2014
Earlier work this paper cites.
X. Chen, J. Wu, Y. Cai, H. Zhang, and T. Chen, “Energy-efficiency oriented traffic offloading in wireless networks: A brief survey and a learning approach for heterogeneous cellular networks,” IEEE Journal on Selected Areas in Communications , vol. 33, no. 4, pp. 627–640, April 2015
2015
Earlier work this paper cites.
A. M. Vegni and V. Loscrí, “A survey on vehicular social networks,” IEEE Communications Surveys Tutorials , vol. 17, no. 4, pp. 2397–2419, Fourthquarter 2015
2015
Earlier work this paper cites.
L. Codeca, R. Frank, and T. Engel, “Luxembourg sumo traffic (lust) scenario: 24 hours of mobility for vehicular networking research,” in 2015 IEEE Vehicular Networking Conference (VNC) , Dec 2015, pp. 1–8
2015
Earlier work this paper cites.
G. T. NYC, “https://data.cityofnewyork.us/transportation/2015-green-taxi-trip-data/gi8d-wdg5,” http://precog.iiitd.edu.in/people/anupama, 2015
2015
Earlier work this paper cites.
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,” IEEE Internet of Things Journal , vol. 3, no. 5, pp. 637–646, 2016
2016
Earlier work this paper cites.
A. Neal, B. Naughton, C. Chan, N. Sprecher, and S. Abeta, “Mobile edge computing (mec); technical requirements,” ETSI, Sophia Antipolis, France, White Paper no. DGS/MEC-002 , 2016
2016
Earlier work this paper cites.
M. Amadeo, C. Campolo, and A. Molinaro, “Information-centric networking for connected vehicles: a survey and future perspectives,” IEEE Communications Magazine , vol. 54, no. 2, pp. 98–104, 2016
2016
Earlier work this paper cites.
Q. Yuan, J. Li, Z. Liu, and F. Yang, “Space and time constrained data offloading in vehicular networks,” in 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) . IEEE, 2016, pp. 398–405
2016
Earlier work this paper cites.
Z. Su, Y. Hui, and S. Guo, “D2d-based content delivery with parked vehicles in vehicular social networks,” IEEE Wireless Communications , vol. 23, no. 4, pp. 90–95, August 2016
2016
Earlier work this paper cites.
J. A. Khan and Y. Ghamri-Doudane, “Saving: Socially aware vehicular information-centric networking,” IEEE Communications Magazine , vol. 54, no. 8, pp. 100–107, 2016
2016
Earlier work this paper cites.
F. Modesto and A. Boukerche, “A novel service-oriented architecture for information-centric vehicular networks,” in Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems . ACM, 2016, pp. 136–139
2016
Earlier work this paper cites.
K. Zhang, Y. Mao, S. Leng, Y. He, and Y. ZHANG, “Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading,” IEEE Vehicular Technology Magazine , vol. 12, no. 2, pp. 36–44, June 2017
2017
Earlier work this paper cites.
J. Liu, J. Wan, B. Zeng, Q. Wang, H. Song, and M. Qiu, “A scalable and quick-response software defined vehicular network assisted by mobile edge computing,” IEEE Communications Magazine , vol. 55, no. 7, pp. 94–100, July 2017
2017
Earlier work this paper cites.
H. Peng, D. Li, Q. Ye, K. Abboud, H. Zhao, W. Zhuang, and X. Shen, “Resource allocation for cellular-based inter-vehicle communications in autonomous multiplatoons,” IEEE Transactions on Vehicular Technology , vol. 66, no. 12, pp. 11 249–11 263, Dec 2017
2017
Earlier work this paper cites.
H. Peng, D. Li, K. Abboud, H. Zhou, H. Zhao, W. Zhuang, and X. . Shen, “Performance analysis of ieee 802.11p dcf for multiplatooning communications with autonomous vehicles,” IEEE Transactions on Vehicular Technology , vol. 66, no. 3, pp. 2485–2498, March 2017
2017
Earlier work this paper cites.
P. Mach and Z. Becvar, “Mobile edge computing: A survey on architecture and computation offloading,” IEEE Communications Surveys Tutorials , vol. 19, no. 3, pp. 1628–1656, thirdquarter 2017
2017
Earlier work this paper cites.
P. Hu, S. Dhelim, H. Ning, and T. Qiu, “Survey on fog computing: architecture, key technologies, applications and open issues,” Journal of network and computer applications , vol. 98, pp. 27–42, 2017
2017
Earlier work this paper cites.
H. J. D. Lopez, M. Siller, and I. Huerta, “Internet of vehicles: Cloud and fog computing approaches,” in 2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) . IEEE, 2017, pp. 211–216
2017
Earlier work this paper cites.
J. Feng, Z. Liu, C. Wu, and Y. Ji, “Ave: Autonomous vehicular edge computing framework with aco-based scheduling,” IEEE Transactions on Vehicular Technology , vol. 66, no. 12, pp. 10 660–10 675, Dec 2017
2017
Earlier work this paper cites.
H. Menouar, I. Guvenc, K. Akkaya, A. S. Uluagac, A. Kadri, and A. Tuncer, “Uav-enabled intelligent transportation systems for the smart city: Applications and challenges,” IEEE Communications Magazine , vol. 55, no. 3, pp. 22–28, March 2017
2017
Earlier work this paper cites.
J. Li, C. Natalino, D. P. Van, L. Wosinska, and J. Chen, “Resource management in fog-enhanced radio access network to support real-time vehicular services,” in 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC) . IEEE, 2017, pp. 68–74
2017
Earlier work this paper cites.
X. Huang, R. Yu, J. Kang, and Y. Zhang, “Distributed reputation management for secure and efficient vehicular edge computing and networks,” IEEE Access , vol. 5, pp. 25 408–25 420, 2017
2017
Earlier work this paper cites.
W. Zhang, Z. Zhang, and H. Chao, “Cooperative fog computing for dealing with big data in the internet of vehicles: Architecture and hierarchical resource management,” IEEE Communications Magazine , vol. 55, no. 12, pp. 60–67, Dec 2017
2017
Earlier work this paper cites.
X. Chen and L. Wang, “Exploring fog computing-based adaptive vehicular data scheduling policies through a compositional formal method-pepa,” IEEE Communications Letters , vol. 21, no. 4, pp. 745–748, April 2017
2017
Earlier work this paper cites.
J. Liu, J. Wan, B. Zeng, Q. Wang, H. Song, and M. Qiu, “A scalable and quick-response software defined vehicular network assisted by mobile edge computing,” IEEE Communications Magazine , vol. 55, no. 7, pp. 94–100, July 2017
2017
Earlier work this paper cites.
J. Liu, J. Wan, B. Zeng, Q. Wang, H. Song, and M. Qiu, “A scalable and quick-response software defined vehicular network assisted by mobile edge computing,” IEEE Communications Magazine , vol. 55, no. 7, pp. 94–100, 2017
2017
Earlier work this paper cites.
Y. Hui, Z. Su, and T. H. Luan, “Optimal access control in heterogeneous vehicular networks: A game theoretic approach,” in GLOBECOM 2017 - 2017 IEEE Global Communications Conference , Dec 2017, pp. 1–5
2017
Earlier work this paper cites.
Z. Su, Q. Xu, Y. Hui, M. Wen, and S. Guo, “A game theoretic approach to parked vehicle assisted content delivery in vehicular ad hoc networks,” IEEE Transactions on Vehicular Technology , vol. 66, no. 7, pp. 6461–6474, July 2017
2017
Earlier work this paper cites.
Z. Wang, Z. Zhong, and M. Ni, “A semi-markov decision process-based computation offloading strategy in vehicular networks,” in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) , Oct 2017, pp. 1–6
2017
Earlier work this paper cites.
Z. Wang, Z. Zhong, D. Zhao, and M. Ni, “Bus-based cloudlet cooperation strategy in vehicular networks,” in 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) , Sep. 2017, pp. 1–6
2017
Earlier work this paper cites.
Z. Hu, Z. Zheng, T. Wang, L. Song, and X. Li, “Roadside unit caching: Auction-based storage allocation for multiple content providers,” IEEE Transactions on Wireless Communications , vol. 16, no. 10, pp. 6321–6334, 2017
2017
Cited alongside, same era.
A. Gharaibeh, M. A. Salahuddin, S. J. Hussini, A. Khreishah, I. Khalil, M. Guizani, and A. Al-Fuqaha, “Smart cities: A survey on data management, security, and enabling technologies,” IEEE Communications Surveys & Tutorials , vol. 19, no. 4, pp. 2456–2501, 2017
2017
Cited alongside, same era.
P. Hu, S. Dhelim, H. Ning, and T. Qiu, “Survey on fog computing: architecture, key technologies, applications and open issues,” Journal of Network and Computer Applications , vol. 98, pp. 27 – 42, 2017. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1084804517302953
2017
Cited alongside, same era.
C. You, K. Huang, H. Chae, and B. Kim, “Energy-efficient resource allocation for mobile-edge computation offloading,” IEEE Transactions on Wireless Communications , vol. 16, no. 3, pp. 1397–1411, March 2017
Z. Zhou, C. Gao, C. Xu, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Social big-data-based content dissemination in internet of vehicles,” IEEE Transactions on Industrial Informatics , vol. 14, no. 2, pp. 768–777, 2018
2018
Later among the works it cites.
L. Zhang, Z. Zhao, Q. Wu, H. Zhao, H. Xu, and X. Wu, “Energy-aware dynamic resource allocation in uav assisted mobile edge computing over social internet of vehicles,” IEEE Access , vol. 6, pp. 56 700–56 715, 2018
2018
Later among the works it cites.
C.-M. Huang, M.-S. Chiang, D.-T. Dao, W.-L. Su, S. Xu, and H. Zhou, “V2v data offloading for cellular network based on the software defined network (sdn) inside mobile edge computing (mec) architecture,” IEEE Access , vol. 6, pp. 17 741–17 755, 2018
2018
Later among the works it cites.
D. A. Chekired, M. A. Togou, and L. Khoukhi, “Hierarchical wireless vehicular fog architecture: A case study of scheduling electric vehicle energy demands,” IEEE Vehicular Technology Magazine , vol. 13, no. 4, pp. 116–126, Dec 2018
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2017
Cited alongside, same era.
Y. He, C. Liang, Z. Zhang, F. R. Yu, N. Zhao, H. Yin, and Y. Zhang, “Resource allocation in software-defined and information-centric vehicular networks with mobile edge computing,” in 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) , Sep. 2017, pp. 1–5
2017
Cited alongside, same era.
N. Magaia, P. Pereira, and M. Correia, “Repsys: A robust and distributed reputation system for delay-tolerant networks,” in Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems , ser. MSWiM ’17. New York, NY, USA: ACM, 2017, pp. 289–293. [Online]. Available: http://doi.acm.org/10.1145/3127540.3127573
2017
Cited alongside, same era.
S. Wang, Z. Zhang, R. Yu, and Y. Zhang, “Low-latency caching with auction game in vehicular edge computing,” in 2017 IEEE/CIC International Conference on Communications in China (ICCC) , Oct 2017, pp. 1–6
2017
Cited alongside, same era.
Y. Fadlallah, A. M. Tulino, D. Barone, G. Vettigli, J. Llorca, and J.-M. Gorce, “Coding for caching in 5g networks,” IEEE Communications Magazine , vol. 55, no. 2, pp. 106–113, 2017
2017
Cited alongside, same era.
Z. Su, Y. Hui, and Q. Yang, “The next generation vehicular networks: A content-centric framework,” IEEE Wireless Communications , vol. 24, no. 1, pp. 60–66, 2017
2017
Cited alongside, same era.
J. Zhu, C. Huang, X. Fan, and B. Fu, “An efficient distributed randomized data replication algorithm in vanets,” in International Conference on Wireless Algorithms, Systems, and Applications . Springer, 2017, pp. 369–380
2017
Cited alongside, same era.
A. Boukerche, R. W. Coutinho, and X. Yu, “Lisic: A link stability-based protocol for vehicular information-centric networks,” in 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) . IEEE, 2017, pp. 233–240
2017
Cited alongside, same era.
Z. Su, Y. Hui, and Q. Yang, “The next generation vehicular networks: A content-centric framework,” IEEE Wireless Communications , vol. 24, no. 1, pp. 60–66, February 2017
2017
Cited alongside, same era.
2018
Later among the works it cites.
K. Zhang, Y. Mao, S. Leng, S. Maharjan, A. Vinel, and Y. Zhang, “Contract-theoretic approach for delay constrained offloading in vehicular edge computing networks,” Mobile Networks and Applications , Feb 2018. [Online]. Available: https://doi.org/10.1007/s11036-018-1032-0
2018
Later among the works it cites.
N. Magaia, Z. Sheng, P. R. Pereira, and M. Correia, “Repsys: A robust and distributed incentive scheme for collaborative caching and dissemination in content-centric cellular-based vehicular delay-tolerant networks,” IEEE Wireless Communications , vol. 25, no. 3, pp. 65–71, JUNE 2018
2018
Later among the works it cites.
Z. Wang, Z. Zhong, D. Zhao, and M. Ni, “Vehicle-based cloudlet relaying for mobile computation offloading,” IEEE Transactions on Vehicular Technology , vol. 67, no. 11, pp. 11 181–11 191, Nov 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
L. T. Tan and R. Q. Hu, “Mobility-aware edge caching and computing in vehicle networks: A deep reinforcement learning,” IEEE Transactions on Vehicular Technology , vol. 67, no. 11, pp. 10 190–10 203, Nov 2018
2018
Later among the works it cites.
Y.-J. Ku, P.-H. Chiang, and S. Dey, “Quality of service optimization for vehicular edge computing with solar-powered road side units,” in 2018 27th International Conference on Computer Communication and Networks (ICCCN) . IEEE, 2018, pp. 1–10
2018
Later among the works it cites.
S. Wu, W. Xia, W. Cui, Q. Chao, Z. Lan, F. Yan, and L. Shen, “An efficient offloading algorithm based on support vector machine for mobile edge computing in vehicular networks,” in 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) . IEEE, 2018, pp. 1–6
2018
Later among the works it cites.
Z. Zhou, P. Liu, Z. Chang, C. Xu, and Y. Zhang, “Energy-efficient workload offloading and power control in vehicular edge computing,” in 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) . IEEE, 2018, pp. 191–196
2018
Later among the works it cites.
Y. Liu, S. Wang, J. Huang, and F. Yang, “A computation offloading algorithm based on game theory for vehicular edge networks,” in 2018 IEEE International Conference on Communications (ICC) . IEEE, 2018, pp. 1–6
2018
Later among the works it cites.
C. Xu and Z. Zhou, “Vehicular content delivery: A big data perspective,” IEEE Wireless Communications , vol. 25, no. 1, pp. 90–97, February 2018
2018
Later among the works it cites.
Y. Hui, Z. Su, T. H. Luan, and J. Cai, “Content in motion: an edge computing based relay scheme for content dissemination in urban vehicular networks,” IEEE Transactions on Intelligent Transportation Systems , 2018
2018
Later among the works it cites.
Z. Su, Y. Hui, Q. Xu, T. Yang, J. Liu, and Y. Jia, “An edge caching scheme to distribute content in vehicular networks,” IEEE Transactions on Vehicular Technology , vol. 67, no. 6, pp. 5346–5356, 2018
2018
Later among the works it cites.
Z. Zhou, H. Yu, C. Xu, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Dependable content distribution in d2d-based cooperative vehicular networks: A big data-integrated coalition game approach,” IEEE Transactions on Intelligent Transportation Systems , vol. 19, no. 3, pp. 953–964, 2018
2018
Later among the works it cites.
Intel, “Self-driving car technology and computing requirements,” https://www.intel.com/content/www/us/en/automotive/driving-safety-advanced-driver-assistance-systems-self-driving-technology-paper.html, Last accessed on 2019-02-28
2019
Closest in time.
2019
Closest in time.
J. Moura and D. Hutchison, “Game theory for multi-access edge computing: Survey, use cases, and future trends,” IEEE Communications Surveys Tutorials , vol. 21, no. 1, pp. 260–288, Firstquarter 2019
2019
Closest in time.
S. Raza, S. Wang, M. Ahmed, and M. R. Anwar, “A survey on vehicular edge computing: Architecture, applications, technical issues, and future directions,” Wireless Communications and Mobile Computing , vol. 2019, 2019
2019
Closest in time.
Y. Sun, X. Guo, J. Song, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, “Adaptive learning-based task offloading for vehicular edge computing systems,” IEEE Transactions on Vehicular Technology , pp. 1–1, 2019
2019
Closest in time.
2019
Closest in time.
J. Kang, R. Yu, X. Huang, M. Wu, S. Maharjan, S. Xie, and Y. Zhang, “Blockchain for secure and efficient data sharing in vehicular edge computing and networks,” IEEE Internet of Things Journal , pp. 1–1, 2019
2019
Closest in time.
——, “Parking reservation auction for parked vehicle assistance in vehicular fog computing,” IEEE Transactions on Vehicular Technology , pp. 1–1, 2019
2019
Closest in time.
J. Du, F. R. Yu, X. Chu, J. Feng, and G. Lu, “Computation offloading and resource allocation in vehicular networks based on dual-side cost minimization,” IEEE Transactions on Vehicular Technology , vol. 68, no. 2, pp. 1079–1092, Feb 2019
2019
Closest in time.
L. Li, H. Zhou, S. X. Xiong, J. Yang, and Y. Mao, “Compound model of task arrivals and load-aware offloading for vehicular mobile edge computing networks,” IEEE Access , 2019
2019
Closest in time.
Z. Zhou, P. Liu, J. Feng, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach,” IEEE Transactions on Vehicular Technology , pp. 1–1, 2019
2019
Closest in time.
C. Yang, Y. Liu, X. Chen, W. Zhong, and S. Xie, “Efficient mobility-aware task offloading for vehicular edge computing networks,” IEEE Access , pp. 1–1, 2019
2019
Closest in time.
Z. Ning, J. Huang, and X. Wang, “Vehicular fog computing: Enabling real-time traffic management for smart cities,” IEEE Wireless Communications , vol. 26, no. 1, pp. 87–93, February 2019
2019
Closest in time.
H. El-Sayed and M. Chaqfeh, “Exploiting mobile edge computing for enhancing vehicular applications in smart cities,” Sensors , vol. 19, no. 5, p. 1073, 2019
2019
Closest in time.
L. Pu, X. Chen, G. Mao, Q. Xie, and J. Xu, “Chimera: An energy-efficient and deadline-aware hybrid edge computing framework for vehicular crowdsensing applications,” IEEE Internet of Things Journal , vol. 6, no. 1, pp. 84–99, Feb 2019
2019
Closest in time.
X.-Q. Pham, T.-D. Nguyen, V. Nguyen, and E.-N. Huh, “Joint node selection and resource allocation for task offloading in scalable vehicle-assisted multi-access edge computing,” Symmetry , vol. 11, no. 1, p. 58, Jan 2019. [Online]. Available: http://dx.doi.org/10.3390/sym11010058
2019
Closest in time.
Y. Hui, Z. Su, T. H. Luan, and J. Cai, “A game theoretic scheme for optimal access control in heterogeneous vehicular networks,” IEEE Transactions on Intelligent Transportation Systems , pp. 1–14, 2019
2019
Closest in time.
J. Sun, Q. Gu, T. Zheng, P. Dong, and Y. Qin, “Joint communication and computing resource allocation in vehicular edge computing,” International Journal of Distributed Sensor Networks , vol. 15, no. 3, p. 1550147719837859, 2019
2019
Closest in time.
P. Liu, J. Li, and Z. Sun, “Matching-based task offloading for vehicular edge computing,” IEEE Access , pp. 1–1, 2019
2019
Closest in time.
A. Boukerche and R. W. Coutinho, “Loicen: A novel location-based and information-centric architecture for content distribution in vehicular networks,” Ad Hoc Networks , p. 101899, 2019
2019
Closest in time.
X. Fan, C. Huang, J. Zhu, and B. Fu, “Replication-based data dissemination in connected internet of vehicles,” Wireless Communications and Mobile Computing , vol. 2019, 2019
2019
Closest in time.
Y. Wu, L. Yan, and X. Fang, “A low-latency content dissemination scheme for mmwave vehicular networks,” IEEE Internet of Things Journal , 2019
2019
Closest in time.
2019
Closest in time.
T. D. T. Nguyen, T.-D. Nguyen, V. D. Nguyen, X.-Q. Pham, and E.-N. Huh, “Cost-effective resource sharing in an internet of vehicles-employed mobile edge computing environment,” Symmetry , vol. 10, no. 11, 2018. [Online]. Available: http://www.mdpi.com/2073-8994/10/11/594
2073
Closest in time.