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Institute for Data and Process Science

Fine-Grained Latency Analysis of Real-World 5G-Enabled Multi-Tier Edge Computing for School Zone Traffic Safety

Autoren

Ahmed Chebaane
Ahmed.Chebaane.1@haw-landshut.de
Dominic Scholze
Dominic.Scholze@haw-landshut.de
Yassine Rezgui
Yassine.Rezgui@haw-landshut.de
Aziz Abdennebi
Abdullah Al-Khatib
Prof. Dr. Abdelmajid Khelil
Abdelmajid.Khelil@haw-landshut.de
Lobna Badraoui
Chengqun Liu

Medien

Springer Journal "Discover Internet of Things"

Veröffentlichungsjahr

2025

Band

2025 / Volume 5

Seiten

112

Veröffentlichungsart

Beitrag in Fachzeitschrift

Zitierung

Chebaane, Ahmed; Scholze, Dominic; Rezgui, Yassine; Abdennebi, Aziz; Al-Khatib, Abdullah; Khelil, Abdelmajid; Badraoui, Lobna; Liu, Chengqun (2025): Fine-Grained Latency Analysis of Real-World 5G-Enabled Multi-Tier Edge Computing for School Zone Traffic Safety. Springer Journal "Discover Internet of Things" 2025 / Volume 5, 112.

Peer Reviewed

Ja

Institute for Data and Process Science

Fine-Grained Latency Analysis of Real-World 5G-Enabled Multi-Tier Edge Computing for School Zone Traffic Safety