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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Hlavní autoři:	Osama Elgarhy, Yannick Le Moullec, Luca Reggiani, Muhammad Moazam Azeem, Tarik Taleb, Muhammad Mahtab Alam
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Open Journal of Vehicular Technology
Témata:	5G beyond 5G MEC position prediction RTK service migration
On-line přístup:	https://ieeexplore.ieee.org/document/10750435/
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