| Issue |
SHS Web Conf.
Volume 144, 2022
2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
|
|
|---|---|---|
| Article Number | 03020 | |
| Number of page(s) | 6 | |
| Section | Application of Artificial Intelligence Technology and Machine Learning Algorithms | |
| DOI | https://doi.org/10.1051/shsconf/202214403020 | |
| Published online | 26 August 2022 | |
Communication Mechanisms Comparison and Decision Algorithm Optimization in Vehicle Edge Computing
Electronic Information Engineering, Nanjing Tech University, Jiangsu province, China, 214000
* Corresponding author. Email: s1554081661@163.com
In recent years, a new network mode, Vehicle Edge Computing (VEC), has been introduced into vehicle networks to increase their computing power. As modern vehicle applications continue to evolve, the ultimate challenge of meeting communication and computing needs becomes more and more prominent. However, the performance of various commonly used communication mechanisms in transmitting different types of information has rarely been studied and compared. This is the main problem in the development of VEC at present. This paper presents the results of testing the communication modes of WiFi, LTE and DSRC by using existing models. Evaluation of different aspects of their performance is referred to. At the same time, a new VEC offload algorithm is analyzed. The result is that the three different communication mechanisms of indoor VEC each have their own advantages and disadvantages in the transmission of different types of information. Compared with conventional algorithms, the new algorithm can complete tasks faster and better, making up for some shortcomings of existing algorithms.
© 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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