Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues

中国邮电高校学报(英文版) ›› 2016, Vol. 23 ›› Issue (2): 56-65.doi:

Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues

康慨¹,王枞²

1. 北京邮电大学软件学院
2. 北京邮电大学信息安全中心

收稿日期:2015-11-20 修回日期:2016-01-21 出版日期:2016-04-28 发布日期:2016-04-28
通讯作者: 康慨 E-mail:onefish@126.com

Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues

Kai KANG ²

Received:2015-11-20 Revised:2016-01-21 Online:2016-04-28 Published:2016-04-28
Contact: Kai KANG E-mail:onefish@126.com

摘要/Abstract

摘要： Vehicular Ad-hoc networks (VANETs) are kinds of mobile Ad-hoc networks (MANETs), which consist of mobile vehicles with on-board units (OBUs) and roadside units (RSUs). With the rapid development of computation and communication technologies, peripheral or incremental changes in VANETs evolve into a revolution in process. Cloud computing as a solution has been deployed to satisfy vehicles in VANETs which are expected to require resources (such as computing, storage and networking). Recently, with special requirements of mobility, location awareness, and low latency, there has been growing interest in research into the role of fog computing in VANETs. The merging of fog computing with VANETs opens an area of possibilities for applications and services on the edge of the cloud computing. Fog computing deploys highly virtualized computing and communication facilities at the proximity of mobile vehicles in VANET. Mobile vehicles in VANET can also demand services of low-latency and short-distance local connections via fog computing. This paper presents the current state of the research and future perspectives of fog computing in VANETs. Moreover, we discuss the characteristics of fog computing and services based on fog computing platform provided for VANETs. In this paper, some opportunities for challenges and issues are mentioned, related techniques that need to be considered have been discussed in the context of fog computing in VANETs. Finally, we discuss about research directions of potential future work for fog computing in VANETs. Within this article, readers can have a more thorough understanding of fog computing for VANETs and the trends in this domain.

关键词: VANET, fog computing, cloud computing, application, vehicular cloud computing

Abstract: Vehicular Ad-hoc networks (VANETs) are kinds of mobile Ad-hoc networks (MANETs), which consist of mobile vehicles with on-board units (OBUs) and roadside units (RSUs). With the rapid development of computation and communication technologies, peripheral or incremental changes in VANETs evolve into a revolution in process. Cloud computing as a solution has been deployed to satisfy vehicles in VANETs which are expected to require resources (such as computing, storage and networking). Recently, with special requirements of mobility, location awareness, and low latency, there has been growing interest in research into the role of fog computing in VANETs. The merging of fog computing with VANETs opens an area of possibilities for applications and services on the edge of the cloud computing. Fog computing deploys highly virtualized computing and communication facilities at the proximity of mobile vehicles in VANET. Mobile vehicles in VANET can also demand services of low-latency and short-distance local connections via fog computing. This paper presents the current state of the research and future perspectives of fog computing in VANETs. Moreover, we discuss the characteristics of fog computing and services based on fog computing platform provided for VANETs. In this paper, some opportunities for challenges and issues are mentioned, related techniques that need to be considered have been discussed in the context of fog computing in VANETs. Finally, we discuss about research directions of potential future work for fog computing in VANETs. Within this article, readers can have a more thorough understanding of fog computing for VANETs and the trends in this domain.

Key words: VANET, fog computing, cloud computing, application, vehicular cloud computing

Kai KANG. Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2016, 23(2): 56-65.

参考文献

1. Yang F C, Wang S G, Li J L, et al. An overview of Internet of vehicles. China Communications, 2014, 11(10): 1-15

2. Dua A, Kumar N, Bawa S. A systematic review on routing protocols for vehicular ad hoc networks. Vehicular Communications, 2014, 1(1): 33-52

3. Li J L, Liu Z H, Yang F C. Internet of vehicles: the framework and key technologies. Journal of Beijing University of Posts and Telecommunications, 2014, 37(6): 95-100 (in Chinese)

4. Whaiduzzaman M, Sookhak M, Gani A, et al. A survey on vehicular cloud computing. Journal of Network and Computer Applications, 2014, 40(1): 325-344

5. Stojmenovic I, Wen S. The fog computing paradigm: scenarios and security issues. Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (FedCSIS’14), Sept 7-10, 2014, Warsaw, Poland. Piscataway, NJ, USA: IEEE, 2014: 8p

6. Fog computing and the Internet of things: extend the cloud to where the things are. Waite Paper. San Jose, CA, USA: Cisco, 2015

7. Stolfo S J, Salem M B, Keromytis A D. Fog computing: mitigating insider data theft attacks in the cloud. Proceedings of the 2012 IEEE Symposium on Security and Privacy Workshops (SPW’12), May 24-25, 2012, San Francisco, CA, USA. Piscataway, NJ, USA: IEEE, 2012: 125-128

8. Bonomi F, Milito R, Zhu J, et al. Fog computing and its role in the Internet of things. Proceedings of the ACM Workshop on Mobile Cloud Computing (MCC’12), Aug 17, 2012, Helsinki, Finland. New York, NY, USA: ACM, 2012: 13-16

9. Balan R, Flinn J, Satyanarayanan M, et al. The case for cyber foraging. Proceedings of the 10th ACM SIGOPS European Workshop (EW’02), Jul 1, 2002, Saint-Emilion, France. New York, NY, USA: ACM, 2002: 87-92

10. Satyanarayanan M, Bahl P, Caceres R, et al. The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 2009, 8(4): 14-23

11. Vaquero L M, Rodero-Merino L. Finding your way in the fog: towards a comprehensive definition of fog computing. ACM SIGCOMM Computer Communication Review, 2014, 44(5): 27-32

12. Yi S H, Li C, Li Q. A survey of fog computing: concepts, applications and issues. Proceedings of the 2015 Workshop on Mobile Big Data (MoBiData’15), Jun 22-25, 2015, Hangzhou, China. New York, NY, USA: ACM, 2015: 37-42

13. Bonomi F. Connected vehicles, the Internet of things, and fog computing. Proceedings of the 8th ACM International Workshop on Vehicular Inter-Networking (VANET’11), Sept 19-23, 2011, Las Vegas, NV, USA. New York, NY, USA: ACM, 2011

14. Bonomi F, Milito R, Natarajan P, et al. Fog computing: a platform for internet of things and analytics. In: Bessis N, Dobre C. Big data and Internet of things: A roadmap for smart environments. Berlin, Germany: Springer, 2014: 169-186

15. Stojmenovic I. Fog computing: a cloud to the ground support for smart things and machine-to-machine networks. Proceedings of the 2014 Australasian on Telecommunication Networks and Applications Conference (ATNAC'14), Nov 26-28, 2014, Southbank, Australia. Piscataway, NJ, USA: IEEE, 2014: 117-122

16. Hong K, Lillethun D, Ramachandran U, et al. Mobile fog: a programming model for large-scale applications on the Internet of things. Proceedings of the 2nd ACM SIGCOMM Workshop on Mobile Cloud Computing (MCC’13), Aug 12-16, 2013, Hong Kong, China. New York, NY, USA: ACM, 2013: 15-20

17. Hong K, Lillethun D, Ramachandran U, et al. Opportunistic spatio-temporal event processing for mobile situation awareness. Proceedings of the 7th ACM International Conference on Distributed Event-based Systems (DEBS’13), Jun 29-Jul 3, 2013, Arlington, TX, USA. New York, NY, USA: ACM, 2013: 195-206

18. Nishio T, Shinkuma R, Takahashi T, et al. Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud. Proceedings of the 1st International Workshop on Mobile Cloud Computing & Networking (MobileCloud’13), Jul 29, 2013, Bangalore, India. New York, NY, USA: ACM, 2013: 19-26

19. Zhu J, Chan D S, Prabhu M S, et al. Improving web sites performance using edge servers in fog computing architecture. Proceedings of the IEEE 7th International Symposium on Service Oriented System Engineering (SOSE’13), Mar 25-28, 2013, Redwood City, CA, USA. Piscataway, NJ, USA: IEEE, 2013: 320-323

20. Aazam M, Huh E N. Fog computing and smart gateway based communication for cloud of things. Proceedings of the 2014 International Conference on Future Internet of Things and Cloud (FiCloud’14), Aug 27-29, 2014, Barcelona, Spain. Piscataway, NJ, USA: IEEE, 2014: 464-470

21. Firdhous M, Ghazali O, Hassan S. Fog computing: will it be the future of cloud computing? Proceedings of the 3rd International Conference on Informatics & Applications (ICIA’14), Oct 6-8, 2014, Kuala Terengganu, Malaysia. Washington, DC, USA: The Society of Digital Information and Wireless Communications, 2014: 8-15

22. Mell P, Grance T. The NIST definition of cloud computing. Special Publication 800-145. Gaithersburg, MD, USA: Information Technology Laboratory, National Institute of Standards and Technology, 2011

23. Luan T H, Gao L X, Xiang Y, et al. Fog computing: focusing on mobile users at the edge. arXiv:1502.01815v1, 2015

24. Al-Sultan S, Al-Doori M M, Al-Bayatti A H, et al. A comprehensive survey on vehicular ad hoc network. Journal of Network and Computer Applications, 2014, 37(1): 380-392

25. Jiang D, Taliwal V, Meier A, et al. Design of 5.9 GHz DSRC-based vehicular safety communication. IEEE Wireless Communications, 2006, 13 (5): 36-43

26. Moustafa H, Zhang Y. Vehicular networks: techniques, standards, and applications. Boca Raton, FL, USA: Auerbach publications, 2009

27. Hartenstein H, Laberteaux K P. A tutorial survey on vehicular ad hoc networks. IEEE Communications Magazine, 2008, 46(6): 164-171

28. Faezipour M, Nourani M, Saeed A, et al. Progress and challenges in intelligent vehicle area networks. Communications of ACM, 2012, 55(2): 90-100

29. Zaidi K, Rajarajan M. Vehicular Internet: security & privacy challenges and opportunities. Future Internet, 2015, 7(3): 257-275

30. Olariu S, Hristov T, Yan G. The next paradigm shift: from vehicular networks to vehicular clouds. In: Basagni S, Conti M, Giordano S, et al. Mobile ad hoc networking: Cutting edge directions. 2nd ed. Hoboken, NJ, USA: John Wiley & Sons, 2013: 645-700

31. Eltoweissy M, Olariu S, Younis M. Towards autonomous vehicular clouds. In: Ad hoc networks, Berlin, Germany: Springer, 2010: 1-16

32. Basagni S, Conti M, Giordano S, et al. Mobile Ad hoc networking: cutting edge direction, 2nd ed, John Wiley & Sens, 2013

33. Liu K, Ng J K Y, Lee V C S, et al. Cooperative data scheduling in hybrid vehicular ad hoc networks: VANET as a software defined network. IEEE/ACM Transactions on Networking (To be published)

34. Truong N B, Lee G M, Ghamri-Doudane Y. Software defined networking-based vehicular ad hoc network with fog Computing. Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM’15), May 11-15, 2015, Ottawa, Canada. Piscataway, NJ, USA: IEEE, 2015: 1202-1207

35. Kim O T T, Tri N D, Nguyen V D, et al. A shared parking model in vehicular network using fog and cloud environment. Proceedings of the 17th Asia-Pacific Network Operations and Management Symposium (APNOMS’15), Aug 19-21, 2015, Busan, Republic of Korea. Piscataway, NJ, USA: IEEE, 2015: 321-326

36. Luan T H, Cai L X, Chen J M, et al. VTube: towards the media rich city life with autonomous vehicular content distribution. Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON’11), Jun 27-30, 2011, Salt Lake City, UT, USA. Piscataway, NJ, USA: IEEE, 2011: 359-367

37. Roy S, Bose R, Sarddar D. A fog-based DSS model for driving rule violation monitoring framework on the Internet of things. International Journal of Advanced Science and Technology, 2015, 82: 23-32

38. Draft H2020 ICT work programme for 2016-17. https://ec.europa.eu/ programmes/horizon2020/en/draft-work-programmes-2016-17

39. Madsen H, Albeanu G, Burtschy B, et al. Reliability in the utility computing era: towards reliable fog computing. Proceedings of the 20th International Conference on Systems, Signals and Image Processing (IWSSIP'13), Jul 7-9, 2013, Bucharest, Romanian. Piscataway, NJ, USA: IEEE, 2013: 43-46

40. Dsouza C, Ahn G J, Taguinod M. Policy-driven security management for fog computing: preliminary framework and a case study. Proceedings of the IEEE 15th International Conference on Information Reuse and Integration (IRI’14), Aug 13-15, 2014, Redwood City, CA, USA. Piscataway, NJ, USA: IEEE, 2014: 16-23

Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues

Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价