TWEMTCRM With B-Tree-Based Cluster Vehicles on the VLAM for Resource Sharing

Vehicular Ad Hoc Networks (VANETs) facilitate communication between vehicles and Roadside Units (RSUs). Intelligent Transportation Systems (ITS) utilize cutting-edge technologies such as artificial intelligence (AI), knowledge mining, and depth fusion to offer convenient, affordable, and environmentally friendly services to drivers and passengers. RSUs are essential for enabling efficient and dependable data transmission between vehicles with future VANET technology. Sharing of resources between vehicles is difficult because of the acceleration or movement of the vehicles. The proposed Two-Way Extended Minute Time Constraint Recollection Model (TWEMTCRM-VLAM) with Dual Vehicle Analysis facilitates resource sharing. The proposed model contains two staging processes: one to collect all the neighbor group vehicle information, and the second to collect valid log resource information based on time stamp and resource availability using B-tree. A group of vehicles within the transmission range shares two log files: one that contains its own resource information and another that provides details about the resources of neighboring vehicles. RSUs regularly update using new log data, ensuring the maintenance of extensive vehicle resource information. Ensuring secure routing methods is crucial for the exchange of data. This technique entails vehicles exchanging log data when requested, which includes information about their own resources and the addresses of nearby vehicles. We regularly update log files to reflect resource utilization, guaranteeing the availability of the most up-to-date data. The proposed model takes into account various network ranges for vehicles, using extended time limits to efficiently retrieve and analyze log files.