TY - GEN
T1 - Sema-IIoVT
T2 - Emergent Semantic-Based Trustworthy Information-Centric Fog System and Testbed for Intelligent Internet of Vehicles
AU - Zhang, Qiaolun
AU - Wu, Jun
AU - Zanella, Michele
AU - Yang, Wu
AU - Bashir, Ali Kashif
AU - Fornaciari, William
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
AB - 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.
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U2 - 10.1109/MCE.2021.3061067
DO - 10.1109/MCE.2021.3061067
M3 - Article
AN - SCOPUS:85101780834
SN - 2162-2248
VL - 12
SP - 70
EP - 79
JO - IEEE Consumer Electronics Magazine
JF - IEEE Consumer Electronics Magazine
ER -