SLA-Based Service Provisioning Optimization in Vehicular Cloud Networks Using Fuzzy Logic

Vehicular Cloud Networks (VCNs) enable vehicles to act as servers and share their abundant computing and storage resources. However, resource allocation in VCNs faces challenges due to factors like service pricing, resource variability, and mobility. This paper proposes a comprehensive approach for service provisioning in VCNs to address key challenges of quality of service, availability, and fair pricing. First, a mathematical model that considers service provider mobility, data volume, delay, cost, and location suitability is formulated. A high-level controller oversees network-wide service management by using fuzzy logic and calculating fit factors between requests and providers. Finally, a tailored heuristic algorithm is proposed to solve the NP-hard optimization problem efficiently. Simulations demonstrate the approach's effectiveness in maximizing allocation suitability under realistic VCN conditions.