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

Qiaolun Zhang, Jun Wu, Michele Zanella, Wu Yang, Ali Kashif Bashir, William Fornaciari

Research output: Contribution to specialist publicationArticle

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.

Original languageEnglish
Specialist publicationIEEE Consumer Electronics Magazine
DOIs
Publication statusAccepted/In press - 2021
Externally publishedYes

Keywords

  • 5G mobile communication
  • Cloud computing
  • Computer architecture
  • Emergency services
  • Routing
  • Semantics
  • Videos

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications
  • Electrical and Electronic Engineering

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