Forming Teams of Smart Objects to Support Mobile Edge Computing for IoT-Based Connected Vehicles

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...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarnè
Format: Article
Language:English
Published: MDPI AG 2025-08-01
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Online Access:https://www.mdpi.com/2076-3417/15/17/9483
Description
Summary: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.
ISSN:2076-3417