CCVNet: A Modified Content-Centric Approach to Enable Multiple Types of Applications in Vehicular Networks

Abstract

Intelligent transportation systems and connected vehicles, by utilization of new facilities and technologies, have a significant role in improving the quality of today’s transportation. A wide range of applications can be defined in a vehicular network that each one has its own requirements. Compared to other wireless networks, vehicular networks face particular challenges due to the continuous and high-speed movement of vehicles. Concerning the characteristics of content-centric networking (CCN), it has the potential to deal with many of these challenges. In this paper, we modify the basic model of the CCN with the aim of supporting many types of application including safety and non-safety. The applications with pull and push behaviors are both considered in the design process. A new concept of shared-content among different applications is introduced and also taken into account in the presented model. To achieve these goals, the basic content retrieval mechanism has been expanded. The simulation results indicate that the new model has good performance in terms of throughput and content retrieval time.

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Notes

  1. 1.

    In this paper we use request and interest interchangeably.

  2. 2.

    In this paper we use Data and Reply packet interchangeably.

References

  1. 1.

    Lu, N., Cheng, N., Zhang, N., Shen, X., & Mark, J. W. (2014). Connected vehicles: Solutions and challenges. IEEE Internet of Things Journal, 1(4), 289–299. https://doi.org/10.1109/JIOT.2014.2327587.

    Article  Google Scholar 

  2. 2.

    Campolo, C., Molinaro, A., & Scopigno, R. (2015). From today’ VANETs to tomorrow’s planning and the bets for the day after. Vehicular Communications, 2(3), 158–171. https://doi.org/10.1016/j.vehcom.2015.06.002.

    Article  Google Scholar 

  3. 3.

    Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010.

    Article  MATH  Google Scholar 

  4. 4.

    Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generat Comput Syst, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010.

    Article  Google Scholar 

  5. 5.

    Zanella, a, Bui, N., Castellani, a, Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32. https://doi.org/10.1109/JIOT.2014.2306328.

    Article  Google Scholar 

  6. 6.

    Altintas, O., Dressler, F., & Hagenauer, F. (2015). Making Cars a Main ICT resource in smart cities. In IEEE conference on computer communications workshops (INFOCOM WKSHPS) (pp. 582–587). https://doi.org/10.1109/INFCOMW.2015.7179448.

  7. 7.

    Zheng, K., Zheng, Q., Chatzimisios, P., Xiang, W., & Zhou, Y. (2015). Heterogeneous vehicular networking: A survey on architecture, challenges and solutions. IEEE Communications Surveys & Tutorials, 17(4), 2377–2396. https://doi.org/10.1109/COMST.2015.2440103.

    Article  Google Scholar 

  8. 8.

    Hameed Mir, Z., & Filali, F. (2014). LTE and IEEE 802.11p for vehicular networking: a performance evaluation. EURASIP Journal on Wireless Communications and Networking, 2014(1), 89. https://doi.org/10.1186/1687-1499-2014-89.

    Article  Google Scholar 

  9. 9.

    Felemban, E., & Sheikh, A. (2014). A review on mobile and sensor networks innovations in intelligent transportation systems. Journal of Transportation Technologies, 4, 196–204. https://doi.org/10.4236/jtts.2014.43020.

    Article  Google Scholar 

  10. 10.

    Amadeo, M., Campolo, C., & Molinaro, A. (2016). Information-centric networking for connected vehicles: A survey and future perspectives. IEEE Communications Magazine, 54(2), 98–104. https://doi.org/10.1109/MCOM.2016.7402268.

    Article  Google Scholar 

  11. 11.

    Araniti, G., Campolo, C., Condoluci, M., Iera, A., & Molinaro, A. (2013). LTE for vehicular networking: A survey. IEEE Communications Magazine, 51(5), 148–157. https://doi.org/10.1109/MCOM.2013.6515060.

    Article  Google Scholar 

  12. 12.

    Festag, A. (2015). Standards for vehicular communication—From IEEE 802.11p to 5G. e & i Elektrotechnik und Informationstechnik, 132(7), 409–416. https://doi.org/10.1007/s00502-015-0343-0.

    Article  Google Scholar 

  13. 13.

    DSRC: The future of safer driving. Retrieved April 2018, fromhttp://www.its.dot.gov/factsheets/dsrc_factsheet.htm.

  14. 14.

    Abboud, K., Omar, H. A., & Zhuang, W. (2016). Interworking of DSRC and cellular network technologies for V2X communications: A survey. IEEE Transactions on Vehicular Technology, 65(12), 9457–9470. https://doi.org/10.1109/TVT.2016.2591558.

    Article  Google Scholar 

  15. 15.

    Amadeo, M., Campolo, C., Molinaro, A., & Ruggeri, G. (2014). Content-centric wireless networking: A survey. Computer Networks, 72, 1–13. https://doi.org/10.1016/j.comnet.2014.07.003.

    Article  Google Scholar 

  16. 16.

    Talebifard, P., Leung, V. C. M., Amadeo, M., Campolo, C., & Molinaro, A. (2015). Information-centric networking for VANETs. Vehicular ad hoc Networks (pp. 503–524). New York: Springer. https://doi.org/10.1007/978-3-319-15497-8.

    Google Scholar 

  17. 17.

    Yu, Y. T. (2014). Information-centric vehicular ad-hoc networks: Challenges and solutions, Ph.D. dissertation, University of California, Los Angeles, CA.

  18. 18.

    Bouk, S., Ahmed, S., & Kim, D. (2015). Vehicular content-centric network (VCCN): A survey and research challenges. In Proceedings of the 30th annual ACM symposium on applied computing (pp. 695–700). https://doi.org/10.1145/2695664.2695844.

  19. 19.

    Wang, J., Wakikawa, R., & Zhang, L. (2010). DMND: Collecting data from mobiles using Named Data. IEEE Vehicular Networking Conference, 2010, 49–56. https://doi.org/10.1109/VNC.2010.5698270.

    Article  Google Scholar 

  20. 20.

    Jacobson, V., Smetters, D., Thornton, J., Plass, M., Briggs, N., & Braynard, R. (2009). Networking named content. In Proceedings of the 5Th international conference on emerging networking experiments and technologies (pp. 1–12). https://doi.org/10.1145/1658939.1658941.

  21. 21.

    Amadeo, M., Campolo, C., Quevedo, J., Corujo, D., Molinaro, A., Iera, A., et al. (2016). Information-centric networking for the internet of things: Challenges and opportunities. IEEE Network, 30(2), 92–100. https://doi.org/10.1109/MNET.2016.7437030.

    Article  Google Scholar 

  22. 22.

    Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012). A survey of information—Centric networking. IEEE Communications Magazine, 50(7), 26–36. https://doi.org/10.1109/MCOM.2012.6231276.

    Article  Google Scholar 

  23. 23.

    Saxena, D., Raychoudhury, V., Suri, N., Becker, C., & Cao, J. (2016). Named data networking: A survey. Computer Science Review, 19, 15–55. https://doi.org/10.1016/j.cosrev.2016.01.001.

    MathSciNet  Article  Google Scholar 

  24. 24.

    Nicanfar, H., TalebiFard, P., Zhu, C., & Leung, V. (2013). Efficient security solution for information-centric networking. In 2013 IEEE international conference on green computing and communications and IEEE Internet Of Things and IEEE cyber, physical and social computing (pp. 1290–1295). https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.224.

  25. 25.

    Wang, L., Wakikawa, R., Kuntz, R., Vuyyuru, R., & Zhang, L. (2012). Data naming in Vehicle-to-Vehicle communications. In 2012 proceedings IEEE INFOCOM workshops (pp. 328–333). IEEE. https://doi.org/10.1109/INFCOMW.2012.6193515.

  26. 26.

    Grassi, G., Pesavento, D., Pau, G., Vuyyuru, R., Wakikawa, R., & Zhang, L. (2014). VANET via named data networking. In 2014 IEEE conference on computer communications workshops (INFOCOM WKSHPS) (Vol. 1, pp. 410–415). https://doi.org/10.1109/INFCOMW.2014.6849267.

  27. 27.

    Amadeo, M., Campolo, C., & Molinaro, A. (2016). Named data networking for priority-based content dissemination in VANETs. In IEEE international symposium on personal, indoor and mobile radio communications, PIMRC (pp. 1–6). IEEE. https://doi.org/10.1109/PIMRC.2016.7794616.

  28. 28.

    Tonguz, O., Wisitpongphan, N., Parikh, J., Bai, F., Mudalige, P., & Sadekar, V. (2006). On the broadcast storm problem in ad-hoc wireless networks. In 2006 3Rd international conference on broadband communications, networks and systems (pp. 1–11). https://doi.org/10.1109/BROADNETS.2006.4374403.

  29. 29.

    Ahmed, S. H., Bouk, S. H., & Kim, D. (2015). RUFS: RobUst forwarder selection in vehicular content-centric networks. IEEE Communications Letters, 19(9), 1616–1619. https://doi.org/10.1109/LCOMM.2015.2451647.

    Article  Google Scholar 

  30. 30.

    Wang, L., Afanasyev, A., & Kuntz, R. (2012). Rapid traffic information dissemination using named data. In Proceedings of the 1st ACM workshop on emerging name-oriented mobile networking design—architecture, algorithms, and applications (Vol. 12, pp. 7–12). https://doi.org/10.1145/2248361.2248365.

  31. 31.

    Amadeo, M., Campolo, C., & Molinaro, A. (2013). Enhancing content-centric networking for vehicular environments. Computer Networks, 57(16), 3222–3234. https://doi.org/10.1016/j.comnet.2013.07.005.

    Article  Google Scholar 

  32. 32.

    Arnould, G., Khadraoui, D., & Habbas, Z. (2011). A self-organizing content centric network model for hybrid vehicular ad-hoc networks. In Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications—DIVANet ’11 (p. 16-22). New York, New York, USA: ACM Press. https://doi.org/10.1145/2069000.2069004.

  33. 33.

    Yu, Y.-T., & Gerla, M. (2016). Information-centric VANETs: A study of content routing design alternatives. In 2016 international conference on computing, networking and communications (ICNC) (pp. 1–5). IEEE. https://doi.org/10.1109/ICCNC.2016.7440705.

  34. 34.

    Tiennoy, S., & Saivichit, C. (2018). Using a distributed roadside unit for the data dissemination protocol in VANET with the named data architecture. IEEE Access, 6, 32612–32623. https://doi.org/10.1109/ACCESS.2018.2840088.

    Article  Google Scholar 

  35. 35.

    Amadeo, M., Campolo, C., & Molinaro, A. (2012). CRoWN: Content-centric networking in vehicular ad hoc networks. IEEE Communications Letters, 16(9), 1380–1383. https://doi.org/10.1109/LCOMM.2012.072012.120282.

    Article  Google Scholar 

  36. 36.

    Majeed, M. F., Ahmed, S. H., & Dailey, M. N. (2017). Enabling push-based critical data forwarding in vehicular named data networks. IEEE Communications Letters, 21(4), 873–876. https://doi.org/10.1109/LCOMM.2016.2642194.

    Article  Google Scholar 

  37. 37.

    ICN Research Challenges, draft-irtf-icnrg-challenges-06. Retrieved September 2018, from https://tools.ietf.org/html/draft-irtf-icnrg-challenges-06.

  38. 38.

    SUMO—Simulation of Urban MObility. Retrieved 25 September 2018, from www.sumo.dlr.de.

  39. 39.

    The Network Simulator - ns-2. Retrieved 25 September 2018, from http://www.isi.edu/nsnam/ns/.

  40. 40.

    OpenStreetMap. Retrieved 19 December 2018, from https://www.openstreetmap.org.

  41. 41.

    Breslau, L., Cao, Pei, Fan, Li, Phillips, G., & Shenker, S. (1999). Web caching and Zipf-like distributions: Evidence and implications. In IEEE INFOCOM ’99, conference on computer communications, proceedings, eighteenth annual joint conference of the IEEE computer and communications societies. The Future Is Now (Cat. No.99CH36320) (pp. 126–134). https://doi.org/10.1109/INFCOM.1999.749260.

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Correspondence to Maghsoud Abbaspour.

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Tizvar, R., Abbaspour, M. CCVNet: A Modified Content-Centric Approach to Enable Multiple Types of Applications in Vehicular Networks. Wireless Pers Commun 113, 139–166 (2020). https://doi.org/10.1007/s11277-020-07182-9

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Keywords

  • Vehicular network
  • Content-centric networking
  • Content retrieval
  • Content naming