Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications

In future 6G networks, real-time and accurate vehicular data are key requirements for enhancing the data-driven multi-access edge computing (MEC) applications. Existing estimation techniques to forecast vehicle position aim to meet the real-time data needs but compromise accuracy due to a lack of co...

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Principais autores:	Asif Mehmood, Afaq Muhammad, Faisal Mehmood, Wang-Cheol Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Mathematics
Assuntos:	multi-access edge computing location prediction road-aware rectification real-time geo-location data internet of vehicles
Acesso em linha:	https://www.mdpi.com/2227-7390/12/24/3980
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