Cloud Computing Based Remote Sensing Architecture for Tracking Vehicular Networking

A new paradigm called Integrated Vehicular Cloud Computing Networking (IVCCN) has the potential to completely change the way smart transportation systems operate. IVCCN integrates edge, cloud, and vehicular networking to support intelligent decision-making, smooth connection, and effective data processing in vehicle contexts. This essay examines the foundations, difficulties, achievements, and potential of IVCCN, clarifying its crucial role in determining the direction of transportation services and infrastructure in the future. In order to provide dependable and effective car services, the growing number of vehicles and their many resource-hungry applications present new computing and storage issues. In order to employ the irregular and accessible resources for mobile application offloading from vehicles, we suggest a new architecture in this study that combines the remote central cloud server, edge computing server, Software Defined Network (SDN) controller, and vehicular cloud in a reasonable manner. The vehicular cloud acts as a backup cloud service provider for automobiles in our suggested architecture, where SDN controllers modify the offloading procedure and network flow based on the resource utilization conditions of cloud servers and the network. Furthermore, we introduce the updated architecture and elaborate on the current issue and its resolution.