Abstract
The advances in wireless communication technologies, vehicular networks and cloud computing boost a growing interest in the design, development and deployment of Vehicular Cyber-Physical Systems (VCPS) for some emerging applications, which leads to an increasing demand on connecting Mobile Cloud Computing (MCC) users to VCPS for accessing the richer applications and services. In this paper, we first identify the key requirements of designing an efficient and flexible architecture for integrating MCC and VCPS. Based on the requirements, we design a VCPS and MCC Integration Architecture (VCMIA), which provides mobile services for potential users such as drivers and passengers to access mobile traffic cloud. Then, we ana- lyze two crucial cloud-supported components: GIS with traffic-aware capability and cloud-supported dynamic vehicle routing. Finally, we select Vehicle Maintenance Services (VMS) as an application scenario to carry out the validation. The proposed VCMIA can provide the flexibility for enabling diverse applications.







Similar content being viewed by others
References
Chen M, Wan J, Li F (2012) Machine-to-machine communications: architectures, standards, and applications. KSII Trans Intern Inform Syst 6(2):480–497
Zou C, Wan J, Chen M, Li D (2012) Simulation modeling of cyber-physical systems exemplified by unmanned vehicles with WSNs navigation. In: Proceedings of the 7th International Conference on Embedded and Multimedia Computing Technology and Service. Gwangju, pp 269–275
Wan J, Chen M, Xia F, Li D, Zhou K (2013) From machine-to-machine communications towards cyber-physical systems. Comput Sci Inform Syst 10(3):1105–1128
Li X, Qiao C, Yu X, Wagh A, Sudhaakar R, Addepalli S (2012) Toward effective service scheduling for human drivers in vehicular cyber-physical systems. IEEE Trans Parallel Distrib Syst 23(9):1775–1789
Qiao C (2010) Cyber-transportation systems (CTS): safety first, infotainment second. Presentation Report
Suo H, Liu Z, Wan J, Zhou K (2013) Security and privacy in mobile cloud computing. In: Proceedings of the 9th IEEE International Wireless Communications and Mobile Computing Conference. Cagliari
Chen M (2012) AMVSC: a framework of adaptive mobile video streaming in the cloud. IEEE Globecom 2012. Anaheim, pp 3–7
Wang X, Chen M, Kwon T, Yang L, Leung V (2013) AMES-Cloud: a framework of adaptive mobile video streaming and efficient social video sharing in the clouds. IEEE Trans Multimedia 15(4):811–820
Lai C, Chao H, Lai Y, Wan J (2013) Cloud-assisted real-time transrating for HTTP live streaming. IEEE Wireless Commun 20(3):62–70
Wan J, Yan H, Liu Q, Zhou K, Lu R, Li D (2013) Enabling cyber-physical systems with machine-to-machine technologies. Int J Ad Hoc Ubiquitous Comput 13(3/4):187–196
Wan J, Yan H, Li D, Zhou K, Zeng L (2013) Cyber-physical systems for optimal energy management scheme of autonomous electric vehicle. Comput J 56(8):947–956
Chen M, Wen Y, Jin H, Leung V (2013) Enabling technologies for future data center networking: a primer. IEEE Netw 27(4):8–15
Zhang D, Huang H, Zhou J, Xia F, Chen Z (2013) Detecting hot road mobility of vehicular Ad hoc networks. Mobile Netw Appl 18(6):803–813
Kumar K, Lu Y (2010) Cloud computing for mobile users: can offloading computation save energy? Comput 43(4):51–56
Miloslavov A, Veeraraghavan M (2012) Sensor data fusion algorithms for vehicular cyber-physical systems. IEEE Trans Parallel Distrib Syst 23(9):1762–1774
Zhang D, Yang Z, Raychoudhury V, Chen Z, Lloret J (2013) An energy-efficient routing protocol using movement trends in vehicular ad hoc networks. Comput J 56(8):938–946
Azogu H (2011) Privacy-preserving license plate image processing. In: Proceedings of the 2nd IEEE Workshop on Multimedia Communications and Services, IEEE GlobeCom 2011. Houston, pp 5–9
Sheffi Y (1985) Urban transportation networks: equilibrium analysis with mathematical programming methods. Prentice-Hall, Englewood Cliffs
Acknowledgments
The authors would like to thank the National Natural Science Foundation of China (No. 61262013, 6136301, 61103185, 61300224), the Natural Science Foundation of Guangdong Province, China (No. S2011010001155), the High-level Talent Project for Universities, Guangdong Province, China (No. 431, YueCaiJiao 2011), the Opening Fund of Guangdong Province Key Laboratory of Precision Equipment and Manufacturing Technology (No. PEMT1303), the National 863 Project (No. 2012AA040909), the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant No. 11KJB520009), and the 9th Six Talents Peak Project of Jiangsu Province (Grant No. DZXX-043) for their support in this research.
Statement
This work is based in part on our previous paper titled “Vehicular cyber-physical systems with mobile cloud computing support”, Presented at CloudComp 2013.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wan, J., Zhang, D., Sun, Y. et al. VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing. Mobile Netw Appl 19, 153–160 (2014). https://doi.org/10.1007/s11036-014-0499-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11036-014-0499-6