Fuzzy-Based Dynamic Priority-Driven Allocation for Internet of Vehicles

Vehicle Fog Computing (VFC) enables enhancing a vehicle's processing capabilities and providing support services and applications for intelligent transportation. VFC has become more critical and suited for delay-sensitive applications because of its low-latency feature. Vehicles must overcome significant difficulties to match the needed services and perform duties successfully. Several ways have been proposed to pool idle vehicle resources cooperatively, with just a handful focusing on priority mechanisms. We focus on allocating resources hierarchically depending on priority. Priority is assigned to resource requests depending on vehicle characteristics such as deadlines, distances, and mobility factors. For each vehicle characteristic, dynamic thresholds are calculated using fuzzy membership functions. A priority queue identifies and assigns managed resources under demands and availability. By decreasing the time a service request spends in the system queue and guaranteeing high throughput through appropriate resource allocation, our suggested solution enables meeting QoS criteria. Simulated tests demonstrated that response times and overall costs for servicing requests were reduced in simulated large-scale urban settings.