Connecting vehicles using Li-Fi technology for reducing accidents

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    Li-FI technology is transferring of data using Led’s in visible light spectrum. Basically Li-Fi is similar to that of Wi-Fi but this Li-Fi is 10 times faster than Wi-Fi, as Wi-Fi uses radio frequency which has some transmission limitation Li-Fi is very useful to replace such limitations. We can use this technology in many areas like hospitals air traffic control, vehicles and under water this Li-Fi technology we mainly use led’s as a transmitter which will send stream of data by toggling with a speed that can’t be identified by the human eye and photodiode as a receiver which converts light energy to electrical energy. Connecting vehicles can be obtained by replacing head and tail lamps of the vehicle with led’s and photodiode should be attached at both front and rear end of the vehicle go get the data from both leading and following vehicles. By transferring the data about the motion of vehicle through led’s we can reduce the collision of vehicles. This technology is also used to regulate the information about the traffic by replacing the street lights with led and transfer data about the traffic in that route for every vehicle that passes through.

  • Keywords

    Light Emitting Diode(LED), Photodiode, Reduction of accidents, Connecting vehicles, Visible Light Communication

  • References

      [1] 1.Kiyoshi MIZUI, Masao NAKAGAWA, “Vehicle-to-Vehicle Multi Target Communication and Ranging System Using Spread Spectrum Technique”.

      [2] 2. "The phototransistor". Bell Laboratories RECORD. May 1950.

      [3] 3.Jump up^ Held. G, Introduction to Light Emitting Diode Technology and Applications, CRC Press, (Worldwide, 2008).

      [4] 4.Harald Haas. "Harald Haas: Wireless data from every light bulb".

      [5] 5.Jump up^ Tsonev, Dobroslav; Videv, Stefan; Haas, Harald (December 18, 2013). "Light fidelity (Li-Fi): towards all-optical networking". Proc. SPIE. Broadband Access Communication Technologies VIII. 9007 (2)

      [6] 6.M. N. N. A. Asghar, M.H, “Principle application and vision in the internet of things (iot),” in Communication Technologies (GCCT), 2015 Global Conference.

      [7] R.C. Y. O. K. Vithanage, C, “A comparison of the popula home automation technologies,”

      [8] R. Pavithra, D., “Iot based monitoring and control system for home automation,”

      [9] T. Ming Zhao, Chua, “Automatic face and gesture recognition, 2008. Fig ’08. 8th IEEE international conference on,”

      [10] S. Cuomo, P. D. Michele, A. Galletti and F. Piccialli, ”A Cultural Heritage Case Study of Visitor Experiences Shared on a Social Network,”

      [11] 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), Krakow, 2015, pp. 539-544.

      [12] Angelo Chianese, Fiammetta Marulli, Francesco Piccialli, Paolo Benedusi, Jai E. Jung, An associative engines based approach supporting

      [13] collaborative analytics in the Internet of cultural things, Future Generation Computer Systems, 2016.

      [14] Wu X, Kumar V, Ross Quinlan J, Ghosh J, Yang Q, Motoda H et al. Top 10 algorithms in data mining. Knowledge and Information Systems.2007;14(1):1-37.




Article ID: 10270
DOI: 10.14419/ijet.v7i2.7.10270

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.