Towards Optimal Placement and Runtime Migration of Time-Sensitive Services of Connected and Automated Vehicles

Towards Optimal Placement and Runtime Migration of Time-Sensitive Services of Connected and Automated Vehicles

In this paper, the goal is to reduce the time needed for the placement and migration of services of Connected Automated Vehicles (CAVs) using precise hybrid positioning method. First, to place a service in a Multi-access Edge Computing (MEC) node, there should be sufficient resources in the served M...

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Bibliographic Details
Main Authors: Osama Elgarhy, Yannick Le Moullec, Luca Reggiani, Muhammad Moazam Azeem, Tarik Taleb, Muhammad Mahtab Alam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
5G
beyond 5G
MEC
position prediction
RTK
service migration
Online Access:https://ieeexplore.ieee.org/document/10750435/
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