Sema-IIoVT: Emergent Semantic-Based Trustworthy Information-Centric Fog System and Testbed for Intelligent Internet of Vehicles

Zhang, Q, Wu, J, Zanella, M, Yang, W, Bashir, AK and Fornaciari, W (2023) Sema-IIoVT: Emergent Semantic-Based Trustworthy Information-Centric Fog System and Testbed for Intelligent Internet of Vehicles. IEEE Consumer Electronics Magazine, 12 (1). pp. 70-79. ISSN 2162-2248

Preview

Accepted Version Download (2MB) | Preview

Abstract

In large scale emergency scenarios, massive content for searching, asking for help, and rescue will be generated and transmitted in Intelligent Internet of Vehicular Things (IIoVT). However, IP-networks based emergency systems make rescue decisions on remote emergency centers, leading to in-efficient content dissemination and a high-latency response. Moreover, a few previous works address trust issues in the emergency systems, resulting in fake content and malicious emergency services. To address above challenges, we propose an emergent semantic-based information-centric fog system, which realizes trustworthy and intelligent emergency analysis and management. First, we design an efficient emergency content dissemination network for aggregating and analyzing emergency information. Besides, we propose a semantic-based trustworthy routing scheme that filters fake content from malicious entities. Moreover, we implement a real testbed and a simulator to evaluate the benefit and performance of the proposed system. The results show that the proposed system achieves a short average semantic analyzing time and a low failure rate of emergency services.