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DOI: 10.14569/IJACSA.2022.0130738
PDF

An Efficient Approach towards Vehicle Number Estimation with Ad-hoc Network under Vehicular Environment

Author 1: Yuva Siddhartha Boyapati
Author 2: Shallaja Salagrama
Author 3: Vimal Bibhu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.

  • Abstract and Keywords
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Abstract: Ad-hoc network usability extends the application for Dedicated Short-Range Communication. This type of ad-hoc network technology is non infrastructure and due to this fact, it can be used for Direct Short Range Communication System to provide the quick and real time message to the vehicular operator to prevent the damage and fatality of life by meeting accidents and crashes. In this paper, we present a holistic approach to estimate the number of vehicles in specified range of one KM distance. The designed system for vehicle number estimation is based on the Time Division Multiple Access mechanism which further estimates the number of reserved slots by vehicular nodes. This estimation methodology is tested under the digital simulator and approximately 34 number of vehicles for 24 seconds are defined to test the slot reservation. We found that in case of vehicular nodes greater than 20, slot reservation accuracy is 95% and when the vehicular nodes are less than 20 then the slot reservation is 100%.

Keywords: Vehicular ad hoc networking; hidden vehicle; visible vehicle; time division multiple access; dedicated short range communication

Yuva Siddhartha Boyapati, Shallaja Salagrama and Vimal Bibhu, “An Efficient Approach towards Vehicle Number Estimation with Ad-hoc Network under Vehicular Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130738

@article{Boyapati2022,
title = {An Efficient Approach towards Vehicle Number Estimation with Ad-hoc Network under Vehicular Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130738},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130738},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Yuva Siddhartha Boyapati and Shallaja Salagrama and Vimal Bibhu}
}



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.

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