Context Presentation
The development of self-driving cars is increasing with 5G techniques. One of the biggest challenges posed by this domain is to protect pedestrians and to decrease accidents by detecting them before they occur. That’s why we need to decrease latency, improve reliability, optimize resource allocation and maintain connectivity… In this regard, we have proposed to preview vehicular and pedestrian traffic and send an alert message to warn them of collision risks. To achieve our goals, we started by proposing a network architecture based on an SDN approach, cell-less configuration, and decentralized computing nodes... Then we noticed that if all vehicles and pedestrians are going to communicate with the controller to send their position, the OpenFlow signaling is going to increase in the controller. So, we have simulated the up-link traffic and we have shown the interest of relieving the overload on the controller by sending position messages just in need. We developed an algorithm that estimate the time interval without future collision risks and decide the frequency of sending position messages in the up-link. Concerning the future work, we have to validate the obtained results with simulation.
Figure 1: Proposed SDN architecture
Scientific Goals
- Generate alert messages under low latency- Improve fiability and throughput- Optimize ressources allocation
Keywords
neOCampus, file, presentation, innovation, VANET, 5G, SDN …
Contacts
Chaima.Zoghlami@irit.fr, Rahim.Kacimi@irit.fr, Riadh.dhaou@irit.fr
