Cluster Computing

, Volume 22, Supplement 2, pp 4597–4602 | Cite as

Research on multichannel transmission of security information in MAC layer based on zoom and forward in VANETs

  • Dai HuimingEmail author
  • Zhang Xin
  • Yang Dacheng


Vehicle Ad-Hoc networks (VANETs) needs to provide time-delay sensitive communication service for security application and non-security application, which makes medium access control (MAC) not only meet the time delay and reliability of security information, but also ensure the service channel utilization of non-security information, and also proposes challenges for the design of MAC. Considering about the requirements of security application and non-security application of VANETs for information transmission, MAC improvement algorithm I-TDMA-MAC based on TDMA has been proposed. I-TDMA-MAC considers about both the time delay and reliability of security information transmission and the utilization of service channel. I-TDMA-MAC allocates two sub-slots for reach vehicle, improves security information transmission performance; at the same time, re-allocates idle slot and improves utilization of service channel. Simulation results have shown that compared with TCMAC, the transmission rate of data packet of I-TDMA-MAC has been increased to 99% and the utilization of service channel has been increased to 90%.


Vehicular Ad-Hoc networks Multichannel Access control Channel access rate Time division multiple access 


  1. 1.
    Arunkumar, N., Ramkumar, K., Hema, S., Nithya, A., Prakash, P., Kirthika, V.: Fuzzy Lyapunov exponent based onset detection of the epileptic seizures. In: 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, pp. 701–706. Art. No. 6558185 (2013)Google Scholar
  2. 2.
    Faig, J.J., Moretti, A., Joseph, L.B., Zhang, Y., Nova, M.J., Smith, K., Uhrich, K.E.: Biodegradable Kojic acid-based polymers: controlled delivery of bioactives for melanogenesis inhibition. Biomacromolecules 18(2), 363–373 (2017)Google Scholar
  3. 3.
    Lv, Z., Halawani, A., Feng, S., Li, H., Réhman, S.U.: Multimodal hand and foot gesture interaction for handheld devices. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 11, no. 1, p. 10 (2014)Google Scholar
  4. 4.
    Chen, Y., Tang, F., Bao, Y., Tang, Y., Chen, G.: A Fe-C coated long period fiber grating sensor for corrosion induced mass loss measurement. Opt. Lett. 41(2016), 2306–2309 (2016)Google Scholar
  5. 5.
    Arunkumar, N., Jayalalitha, S., Dinesh, S., Venugopal, A., Sekar, D: Sample entropy based ayurvedic pulse diagnosis for diabetics. In: IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, pp. 61–62. Art. No. 6215973 (2012)Google Scholar
  6. 6.
    Chan, J.W., Zhang, Y., Uhrich, K.E.: Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconjug. Chem. 26(7), 1359–1369 (2015)Google Scholar
  7. 7.
    Stephygraph, L.R., Arunkumar, N., Venkatraman, V.: Wireless mobile robot control through human machine interface using brain signals. In: 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials, ICSTM 2015—Proceedings, pp. 596–603. Art. No. 7225484 (2015)Google Scholar
  8. 8.
    Arunkumar, N., Balaji, V.S., Ramesh, S., Natarajan, S., Likhita, V.R., Sundari, S.: Automatic detection of epileptic seizures using independent component analysis algorithm. In: IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, pp. 542–544. Art. No. 6215903 (2012)Google Scholar
  9. 9.
    Du, Y., Chen, Y., Zhuang, Y., Zhu, C., Tang, F., Huang, J.: Probing nanostrain via a mechanically designed optical fiber interferometer. IEEE Photonics Technol. Lett. 29(2017), 1348–1351 (2017)Google Scholar
  10. 10.
    Pan, W., Chen, S., Feng, Z.: Automatic clustering of social tag using community detection. Appl. Math. Inf. Sci. 7(2), 675–681 (2016)Google Scholar
  11. 11.
    Zhang, Y., Mintzer, E., Uhrich, K.E.: Synthesis and characterization of PEGylated bolaamphiphiles with enhanced retention in liposomes. J. Colloid Interface Sci. 482, 19–26 (2016)Google Scholar
  12. 12.
    Arunkumar, N., Mohamed Sirajudeen, K.M.: Approximate entropy based ayurvedic pulse diagnosis for diabetics—A case study. In: TISC 2011—Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing, pp. 133–135. Art. No. 6169099 (2011)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina

Personalised recommendations