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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.
Abstract: Efficient Data dissemination in VANET is still the challenge because of variable speed of vehicles, road conditions, frequent fragmentation etc. In this article a selective forwarding data dissemination scheme using exit time differences in vehicles for highway lanes scenario is proposed that focuses on the solution of broadcast storm, less coverage, transmission delay and reliable data delivery. Our approach is selecting multiple forwarding nodes to increase coverage in less delay. In this article road lanes concept is used to identify the moving node direction. Redundant regions and zones technique in proposed approach is reducing the processing of parameters at significant extents. Simulation of proposed approach is done using NS2 and SUMO. Output of implementation is compared with unidirectional flooding, KB_Selective, and LT_Selective techniques. Result analysis shown that the proposed technique is much efficient and it increases the rate of coverage up to 23%. Also it reduces the delay up to 18% in data delivery ratio. This methodology also improves the performance of system by increasing the throughput and reducing the collision rate in comparison with other methods.
Deepak Gupta, Rakesh Rathi, Shikha Gupta and Neetu Sharma, “Multiple Relay Nodes Selection Scheme using Exit Time Variation for Efficient Data Dissemination in VANET” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120731
@article{Gupta2021,
title = {Multiple Relay Nodes Selection Scheme using Exit Time Variation for Efficient Data Dissemination in VANET},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120731},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120731},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Deepak Gupta and Rakesh Rathi and Shikha Gupta and Neetu Sharma}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.