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
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 inefficient 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 abovementioned 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.