2020-003 – Method and Cloud-Based Cognitive Radio Adhoc Vehicular Network System for real-time activities of Vehicles in next-generation smart city

In architecting a smart city, the designers and architects need to incorporate efficient mechanismsto manage movement of people, especially in urban areas. Such mechanisms usually depend heavily on the availability of efficient information and communica Glediana Rexha gxrexha@ualr.edu 5015698989

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