Abstract:
Intelligent transportation systems (ITSs) help connected vehicles coordinate, making them popular. ITSs integrate information exchange to improve road transportation safety, efficiency, and reliability. ITSs use VANETs, a type of MANET.
VANETs are connected vehicles that share traffic, positioning, weather, and emergency service data. Vehicle-to-everything (V2X) communications involve any entity—a vehicle, a cloud-based network, a pedestrian, or roadside equipment—and a vehicle.
V2X drivers need reliable and timely information from vehicular nodes to make safer decisions. V2X routing protocols improve VANET reliability, safety, and QoS. VANETs’ high vehicular node mobility, unsteady connectivity, rapid topology changes, and unbounded network size can significantly affect routing in the network.
Technical literature contains V2X routing protocols. In this survey, we classify routing mechanisms as non-learning and learning-based and discuss V2X routing protocols and VANET performance.
The learning-based approach uses machine learning algorithms. This survey also discusses V2X routing protocol design challenges and smart routing mechanism research for next-generation intelligent VANET technologies.
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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