Issue |
E3S Web Conf.
Volume 336, 2022
The International Conference on Energy and Green Computing (ICEGC’2021)
|
|
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Article Number | 00066 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/e3sconf/202233600066 | |
Published online | 17 January 2022 |
Energy Utilization and Transmission Delay Optimization in Cox VANET networks
ENSA, Ibn Tofail University, Kenitra, Morocco
* e-mail: adil.boumaalif@gmail.com
** e-mail: zytoune.ouadoudi@uit.ac.ma
Among the challenges in VANETs networks there is power control, which permits to achieve better permformance in terms of Signal to Interference plus Noise Ratio (SINR), Energy Efficiency (EE), Energy Utilization (EU),... Another important point to address is the transmition delay, which we should adapt it to be under an acceptable threshold. For that, we model the network as a Cox Line-Point process, and the transmitter as an M/D/1 queue server. To solve this tradeoff problem, we use machine learning techniques, especialy Q learning algorithm. It is shown , via simulations, that through our algorithm, the vehicular transmitter be able to learn its transmit power in an autonomous way, and achieve better performance for the energy utilization rate, the system waiting time and the area spectral efficiency.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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