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Research Topics for Machine Learning Models in Cognitive Radio based Vehicular Ad Hoc Networks

Research Topics for Machine Learning Models in Cognitive Radio based Vehicular Ad Hoc Networks

Best Research Topics for Machine Learning Models in Cognitive Radio based Vehicular Ad Hoc Networks

  Poor transportation management system leads to causalities and severe road congestions in urban areas. Efficient transportation is needed with routing models and spectrum management schemes. The cognitive radio-based vehicular ad hoc networks solve such issues, and the machine learning models play a vital role. The machine learning algorithms are employed for improving routing efficiency, achieving security, optimizing scheduling, choosing the best channels, and prioritizing the communication based on the type of application.