Work

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

Year: 2025

Type: article

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: Applied Sciences

DOI: 10.3390/app15179483

Authors: Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarnè

Institutions: University of Catania, University of Reggio Calabria, University of Milano-Bicocca

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896