A Hybrid Adaptive Dissemination Solution Based on Geographic Distance for Vehicular Ad Hoc Networks

  • Qi Fu
  • Anhua Chen
  • Yunxia Jiang
  • Zhigang Chen
  • Yankai Song
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 768)


Increasing amount of vehicles are being equipped with embedded sensors, processing and wireless communication capabilities. This has opened a myriad of possibilities for varying applications on safety, public collaboration and participation. Message dissemination is one of the many fundamental services in Vehicular Ad hoc Networks (VANETs). For this purpose, in this paper we describe HADD, a hybrid adaptive dissemination protocol based on geographic distance. Contrary to other existing approaches that focus exclusively on always-connected networks, it is designed to operate under any kind of road traffic condition. We propose a new geographic-based broadcast suppression strategy to broadcast the message waiting in the local buffer queue to other vehicles. Finally, HADD employs a rate control scheme that sets the pace at which messages must be transmitted according to the perceived network data traffic, thus avoiding channel overloading. Hence, HADD adapts not only to the varying road traffic condition, but also to the perceived wireless channel quality. When compared to two related and well-accepted protocols under Manhattan grid scenarios, we show that, overall, HADD is more reliable and efficient in terms of message delivery.


VANETs Message dissemination Broadcast suppression Rate control OMNet++ 



This work was partially supported by the National Science Foundation, under grant No. 61379057 and No. 61672540.


  1. 1.
    Cunha, F., et al.: Data communication in VANETs: protocols, applications and challenges. Ad Hoc Netw. 44, 90–103 (2016)CrossRefGoogle Scholar
  2. 2.
    Kakkasageri, M.S., et al.: Information management in vehicular ad hoc networks: A review. J. Netw. Comput. Appl. 39, 334–350 (2014)CrossRefGoogle Scholar
  3. 3.
    Kakkasageri, M.S., et al.: A survey on information dissemination in VANETs”. In: Daher, R., Vinel, A. (eds.) Roadside Networks For Vehicular Communications: Architectures. Applications And Test Fields. IGI Global Publishers, USA (2012)Google Scholar
  4. 4.
    Uppoor, S., Fiore, M.: Large-scale urban vehicular mobility for networking research. In: IEEE Vehicular Networking Conference, VNC 2011, pp. 62–69 (2011)Google Scholar
  5. 5.
    Greene, D., et al.: Utility-driven information dissemination in VANETS. In: 14th World Congress On Intelligent Transportation Systems, Beijing, China, 9–13 October 2007Google Scholar
  6. 6.
    Sommer, C., et al.: Traffic information systems: efficient message dissemination via adaptive beaconing. IEEE Commun. Mag. 49(5), 173–179 (2011)CrossRefGoogle Scholar
  7. 7.
    Hanawa, H., Higaki, H.: DTN data message transmission by inter-vehicle communication with help of road map and statistical traffic information in VANET. UIC-ATC-Scalcom. 42, 814–820 (2014)Google Scholar
  8. 8.
    Huang, J., et al.: Vehicle density based forwarding protocol for safety message broadcast in VANET. Sci. World J. (2014). doi:
  9. 9.
    Harry, J.F., et al.: A stochastic traffic modeling approach for 802.11p VANET broadcasting performance evaluation. In: 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), Sydney, NSW, pp. 1077–1083 (2012)Google Scholar
  10. 10.
    Maia, G., et al.: A rate control video dissemination solution for extremely dynamic vehicular ad hoc networks. Perform. Eval. 87, 3–18 (2015)CrossRefGoogle Scholar
  11. 11.
    Bakhouya, M., et al.: An adaptive approach for information dissemination in vehicular ad hoc networks. J. Netw. Comput. Appl. 34(6), 1971–1978 (2011)CrossRefGoogle Scholar
  12. 12.
    He, Z.J., Zhang, D.Q.: Cost-efficient traffic-aware data collection protocol in VANET. Ad Hoc Netw. 55, 28–39 (2017)CrossRefGoogle Scholar
  13. 13.
    Zhao, J., et al.: Data pouring and buffering on the road: a new data dissemination paradigm for vehicular ad hoc networks. IEEE Trans. Veh. Technol. 56(6), 3266–3276 (2007)CrossRefGoogle Scholar
  14. 14.
    Baiocchi, A., et al.: Infotainment services based on push-mode dissemination in an integrated VANET and 3G architecture. J. Commun. Netw. 15(2), 179–190 (2013)CrossRefGoogle Scholar
  15. 15.
    Pandey, T., et al.: Publish/subscribe based information dissemination over VANET utilizing DHT. Front. Comput. Sci. 6(6), 713–724 (2012)MathSciNetGoogle Scholar
  16. 16.
    Bian, C., Zhao, T., Li, X.M., et al.: Boosting named data networking for data dissemination in urban VANET scenarios. Veh. Commun. 2, 195–207 (2015)CrossRefGoogle Scholar
  17. 17.
    Lochert, C., Mauve, M., Füßler, H., Hartenstein, H.: Geographic routing in city scenarios. Mob. Comput. Commun. Rev. 9(1), 69–72 (2005)CrossRefGoogle Scholar
  18. 18.
    Katsaros, K., Dianati, M., Tafazolli, R., Kernchen, R.: CLWPR: a novel cross-layer optimized position based routing protocol for VANETs. In: Vehicular Networking Conference, pp. 139–146. IEEE (2011)Google Scholar
  19. 19.
    Lee, U., et al.: Dissemination and harvesting of urban data using vehicular sensing platforms. IEEE Trans. Veh. Technol. 58(2), 882–901 (2009)CrossRefGoogle Scholar
  20. 20.
    Bhoi, S.K., et al.: A path selection based routing protocol for urban vehicular ad hoc network (UVAN) environment. Wirel. Netw. 23(2), 311–322 (2017)CrossRefGoogle Scholar
  21. 21.
    Tsiachris, S., et al.: Junction-based geographic routing algorithm for vehicular ad hoc networks. Wirel. Pers. Commun. 71(2), 955–973 (2013)CrossRefGoogle Scholar
  22. 22.
    Md. Nawaz Ali, G.G., et al.: Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs). J. Syst. Soft. 117, 508–527 (2016)CrossRefGoogle Scholar
  23. 23.
    Liu, K., Lee, V.: Adaptive data dissemination for time-constrained messages in dynamic vehicular networks. Transp. Res. Part C: Emerg. Technol. 21(1), 214–229 (2012)CrossRefGoogle Scholar
  24. 24.
    Shi, J.L., et al.: Social-based routing scheme for fixed-line VANET. Comput. Netw. 113, 230–243 (2016). doi: 10.1016/j.comnet.2016.12.016 CrossRefGoogle Scholar
  25. 25.
    IEEE, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications amendment 6: wireless access in vehicular environments. IEEE standards (2010)Google Scholar
  26. 26.
    Varga, A., Hornig, R.: An overview of the OMNeT++ simulation environment. In: International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops, Simutools 2008, pp. 1–10 (2008)Google Scholar
  27. 27.
    Krajzewicz, D., et al.: Recent development and applications of SUMO-simulation of urban mobility. Int. J. Adv. Syst. Measur. 5(3&4), 128–138 (2012)Google Scholar
  28. 28.
    Sommer, C., et al.: Bidirectionally coupled network and road traffic simulation for improved IVC analysis. IEEE Trans. Mob. Comput. 10(1), 3–15 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Qi Fu
    • 1
  • Anhua Chen
    • 1
  • Yunxia Jiang
    • 1
  • Zhigang Chen
    • 2
  • Yankai Song
    • 1
  1. 1.School of Computer Science and EngineeringHunan University of Science and TechnologyXiangtanChina
  2. 2.College of Information Science and EngineeringCentral South UniversityChangshaChina

Personalised recommendations