Deep learning for a heuristic optimization study used fuzzy logic and genetic algorithms for vehicle seamless connectivity

This paper provides combine algorithms working with fuzzy logic and genetic algorithms, is support seamless connectivity, the algorithms have deep learning for future environmental study, used a heuristic optimization. The genetic algorithms start working based on based equation identified the regulation. The system proposed which is composed of integrated with satellite, Cellular and WIMAX technologies fixed by GPS to support different data rate, the main advantage idea also here the connectivity between vehicle to vehicle (V2V) communication is available based on 802.11p standard distance less than 100m in Local area, and less than 10 km in cellular WIMAX coverage area. Each vehicle equipped with GPS and smart card with Tow interface can be connected on one side interface working to support local network and cellular, another side support virtual connection. Also, this side can reach to connect directly through satellite connection with standers IEEE802.21. In addition, the long-term evaluation (LTE), supporting highest speed up to 400 km/h is different than other technology service coverage. Therefore, study identifies the emerging trends, highlights the technical limitations, and provides a roadmap for future vehicles communication development using robust algorithms with realistic simulations.