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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 1, 2022.
Abstract: Internet of vehicles (IoV) promises to provide ubiquitous information exchange among moving vehicles and reliable connectivity to the internet. Therefore, IoV is becoming more and more popular as the number of connected vehicles is increasing. However, the existing vehicular communication infrastructure cannot guarantee reliable connectivity because all-time information exchange for every travelling vehicle is not assured due to lack of required number of roadside units (RSUs) especially along the intercity highways. This study is aimed towards exploring the use of cost-effective dynamic deployment of RSUs based upon the road traffic density and by ensuring the Line of Sight (LOS) among RSUs and Cellular Network Antennas. The unmanned aerial vehicles (UAVs) have a potential to serve as economical dynamic RSUs. Therefore, the use of UAVs along the roadside for providing reliable and ubiquitous information exchange among vehicles is proposed. The UAVs will be deployed along the roadside and their respective placement will be changed dynamically based upon the current traffic density in order to ensure the all-time connectivity with the travelling vehicles and the other UAVs/Cellular Network antennas. The reliability of the proposed network will be tested in terms of signal strength and packet delivery ratio (PDR) using the simulation.
Abdulwahab Ali Almazroi and Muhammad Ahsan Qureshi, “Dynamic Deployment of Road Side Units for Reliable Connectivity in Internet of Vehicles” International Journal of Advanced Computer Science and Applications(IJACSA), 13(1), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130123
@article{Almazroi2022,
title = {Dynamic Deployment of Road Side Units for Reliable Connectivity in Internet of Vehicles},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130123},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130123},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {1},
author = {Abdulwahab Ali Almazroi and Muhammad Ahsan Qureshi}
}
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.