Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading

The rapid advancements in vehicular technologies have enabled modern autonomous vehicles (AVs) to perform complex tasks, such as augmented reality, real-time video surveillance, and automated parking. However, these applications require significant computational resources, which AVs often lack. To a...

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Principais autores:	Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-10-01
Serija:	Computers
Teme:	fifth generation (5G) Hungarian algorithm task offloading vehicular edge computing (VEC) wireless access in vehicular environments (WAVE)
Online dostop:	https://www.mdpi.com/2073-431X/13/11/279
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