Dependable Internet of Things and Detection

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 February 2021) | Viewed by 3014

Special Issue Editor


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Guest Editor
School of Computer Science and Engineering, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Ku, Seoul 06974, Korea
Interests: dependable Internet of Things; anomaly detection; scale-free networks; operating systems

Special Issue Information

Dear Colleagues,

Due to the low cost of easy-to-use components of open-source hardware and software, the Internet of Things may be pervading through everything everywhere. The dependability of the Internet of Things is critical because the services will be concerned with real life. However, inexpensive hardware provides limited resources for communication.  The reliability of the Internet of Things is essential because it is embedded in a physical system for which we should pay a cost if it fails. For example, when it is used to manage some constructions such as buildings, bridges, and freeways or is used to manage the containers carrying meat products or seafood products, the networks should provide dependable services. For example, the network for checking the room temperature of the containers that carry meat products or seafood products should be trusted to maintain the quality of the products.

This Special Issue will include studies for finding the reliable implementation of the Internet of Things and for finding anomalies from the data collected by sensors of things.

  • Dependable IoT networks,
  • Sustainable IoT systems,
  • Machine learning, including deep learning, for detecting anomalies,
  • Signal processing for detecting anomalies, and
  • Radars for detecting anomalies.

Prof. Dr. Jae-Hyun Park
Guest Editor

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Published Papers (1 paper)

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Research

19 pages, 2710 KiB  
Article
Surveillance System in Smart Cities: A Dependability Evaluation Based on Stochastic Models
by Igor Gonçalves, Laécio Rodrigues, Francisco Airton Silva, Tuan Anh Nguyen, Dugki Min and Jae-Woo Lee
Electronics 2021, 10(8), 876; https://doi.org/10.3390/electronics10080876 - 7 Apr 2021
Cited by 10 | Viewed by 2535
Abstract
Surveillance monitoring systems are highly necessary, aiming to prevent many social problems in smart cities. The internet of things (IoT) nowadays offers a variety of technologies to capture and process massive and heterogeneous data. Due to the fact that (i) advanced analyses of [...] Read more.
Surveillance monitoring systems are highly necessary, aiming to prevent many social problems in smart cities. The internet of things (IoT) nowadays offers a variety of technologies to capture and process massive and heterogeneous data. Due to the fact that (i) advanced analyses of video streams are performed on powerful recording devices; while (ii) surveillance monitoring services require high availability levels in the way that the service must remain connected, for example, to a connection network that offers higher speed than conventional connections; and that (iii) the trust-worthy dependability of a surveillance system depends on various factors, it is not easy to identify which components/devices in a system architecture have the most impact on the dependability for a specific surveillance system in smart cities. In this paper, we developed stochastic Petri net models for a surveillance monitoring system with regard to varying several parameters to obtain the highest dependability. Two main metrics of interest in the dependability of a surveillance system including reliability and availability were analyzed in a comprehensive manner. The analysis results show that the variation in the number of long-term evolution (LTE)-based stations contributes to a number of nines (#9s) increase in availability. The obtained results show that the variation of the mean time to failure (MTTF) of surveillance cameras exposes a high impact on the reliability of the system. The findings of this work have the potential of assisting system architects in planning more optimized systems in this field based on the proposed models. Full article
(This article belongs to the Special Issue Dependable Internet of Things and Detection)
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