Abstract:
Vehicle networking research has always prioritized road safety, traffic management, and passenger comfort. Smart sensors, cameras, networking devices, and storage capabilities have enabled modern intelligent vehicles.
Modern autonomous vehicles need massive computations outsourced. Mobile cloud computing (MCC), vehicular cloud computing (VCC), multi-access or mobile edge computing (MEC), vehicular edge computing (VEC), vehicular fog computing (VFC), and volunteer computing based VANET (VCBV) have been developed in recent years to move computational resources close to the user and handle the delay-sensitive applications of modern intelligent vehicles.
This project covers all vehicular network computing paradigms. We describe each computing paradigm’s architecture, similarities, differences, and key features. Finally, we present vehicular network research challenges and future directions.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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