Data Fast Transmission Method in Wireless Vehicle Ad-hoc Network

Sorush Niknamian
https://doi.org/10.35877/454RI.asci1294

Abstract

In vehicular ad hoc networks, the current method does not consider the delay of data transmission, resulting in slower vehicle data transmission speed. A vehicle data transmission method based on backbone network is proposed in this paper. Firstly, the characteristics of vehicle ad hoc network are analyzed. Based on the statistics of the road, the vehicle cluster is composed of the vehicles parking on the roadside and no roadside according to the different directions of the vehicle driving. The backbone network is constructed on the basis of the cluster of vehicles, and the data transmission between the vehicles is implemented by the data transmission method of overlay network. This method can overcome the disadvantages of traditional data transmission methods, improve the efficiency of on-board data transmission, and complete the research on fast data transmission method in wireless vehicle ad hoc network. The experimental results show that the proposed method can achieve higher data transmission success rate with lower data transmission overhead and smaller transmission delay.

Keywords

Downloads

Download data is not yet available.

References (13)

  1. Tao, X., Bodington, D., Reinig, M., et al. (2015). High-speed scanning interferometric focusing by fast measurement of binary transmission matrix for channel demixing. Optics Express, 23(11), 14168-87. DOI: 10.1364/OE.23.014168
  2. Afanasiev, M. V., Pratt, R. G., Kamei, R., et al. (2017). Waveform-based simulated annealing of crosshole transmission data: a semi-global method for estimating seismic anisotropy. Geophysical Journal International, 199(3), 1586-1607. DOI: 10.1093/gji/ggu307.
  3. Bamiedakis, N., Chen, J., Westbergh, P., et al. (2015). 40 Gb/s Data Transmission Over a 1-m-Long Multimode Polymer Spiral Waveguide for Board-Level Optical Interconnects. Journal of Lightwave Technology, 33(4), 882-888. DOI: 10.1109/JLT.2014.2371491.
  4. Chen, J., Bamiedakis, N., Vasil’Ev, P. P., et al. (2016). High-Bandwidth and Large Coupling Tolerance Graded-Index Multimode Polymer Waveguides for On-Board High-Speed Optical Interconnects. Journal of Lightwave Technology, 34(12), 2934-2940.DOI: 10.1109/JLT.2015.2500611.
  5. Zhang, W., Hao, M., Xu, Z. (2016). Communication optimization for RDMA-based science data transmission tools. Journal of Supercomputing, 72(9), 3312-3327. DOI: 10.1007/s11227-015-1399-7.
  6. Wang, A.X., Li, Q., Wang, C. S. (2015). Research and Simulation of Data Equilibrium Strategy under High Database Loading. Computer Simulation, 33(3), 327-330.
  7. Gao, X.J., Che, M.,Li, H. (2015). Point-to-point 3G Remote Data Transmission Under Heterogeneous Network Standard. Computer Engineering, 41(9), 120-125.
  8. Bardsiri, A.K. (2018). A new combinatorial framework for software services development effort estimation. International Journal of Computers and Applications, 40(1): 14-24.
  9. Cayirci, E. and de Oliveira, A.S. (2018). Modelling trust and risk for cloud services. Journal of Cloud Computing, 7(1).
  10. Panov, V.G. and Nagrebetskaya, J.V. (2018). Classification of combined action of binary factors and coxeter groups. Journal of Discrete Mathematical Sciences and Cryptography, 21(3): 661-677.

How to Cite

Niknamian, S. (2019). Data Fast Transmission Method in Wireless Vehicle Ad-hoc Network. Journal of Applied Science, Engineering, Technology, and Education, 1(2), 149–161. https://doi.org/10.35877/454RI.asci1294