Forming Teams of Smart Objects to Support Mobile Edge Computing for IoT-Based Connected Vehicles
Source abstract
Abstract
This paper proposes a collaborative framework to support task offloading in connected vehicular environments. The approach relies on the dynamic formation of temporary teams of connected vehicles in a mobile edge computing scenario. A novel trust model is introduced, which integrates both quality of service and quality of results into a unified reliability score, and combines this score with distributed reputation to build a comprehensive trust metric. This trust metric is then exploited to guide a decentralized team formation algorithm, ensuring lightweight, interpretable, and scalable decision-making processes. Simulation results demonstrate that the proposed framework improves task execution quality and fairness, especially for low-performing vehicles. These contributions highlight the novelty and strengths of our collaborative model, positioning it as a promising solution for enhancing cooperation in vehicular edge systems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Blockchain Technology Applications and Security · IoT and Edge/Fog Computing · Privacy-Preserving Technologies in Data
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics and Computer Science, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy
Department DIIES, University “Mediterranea” of Reggio Calabria, Loc. Feo di Vito, 89123 Reggio Calabria, Italy
Department of Psychology, University of Milano-Bicocca, Pz. dell’Ateneo Nuovo 1, 20126 Milano, Italy
Funding
University of Catania
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