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Electronics
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Internet of Things for Smart Buildings
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Internet of Things for Smart Buildings

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 12435

Special Issue Editors

Dr. Liang Zhao

E-Mail Website
Guest Editor
School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China
Interests: industrial Internet of Things; computer and network systems; machine learning; intelligent buildings; wireless communication; embedded system
Dr. Wenli Shang

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Interests: computational intelligence; machine learning; industrial Internet of Things information security; intelligent detection; fault diagnosis

Special Issue Information

Dear Colleagues,

The industrial Internet of Things (IIoT) is one of the main application fields of the Internet of Things (IoT), and it is also an important application area for information and communication systems. Recent trends in Industry 4.0 and the Industrial Internet Consortium (IIC) demonstrate the significance of IIoT. The fourth industrial revolution actually takes the industrial Internet of Things as one of its contributing factors. Its emerging examples include a variety of intelligent devices and embedded systems, which are interconnected, seamlessly transmit data, provide artificial intelligence algorithms, and analyze at the edge or in the cloud. The pattern has gradually been implemented in multitudinous application domains, including the monitoring of key infrastructure, manufacturing, smart budlings and cities, intelligent energy, and e-health. Especially in intelligent buildings and cities, the deployment of IIoT infrastructure will realize the integration of information technology and operation technology, as well as solving problems related to the design, operation, and guarantee of complex network physical systems. Better innovative, interconnected, intelligent, and self-learning ecosystems will appear in buildings and cities. Smart cities are recognized as systems of systems, which go beyond the silo method to achieve its different application areas, bringing advanced services and a higher quality of life.

In this Special Issue, we welcome papers related to the application of the industrial Internet of Things, especially in the field of intelligent buildings and intelligent cities. The purpose is to contribute to the wider literature and provide an overall consideration of the integration of cyber-physical systems and the industrial Internet of Things.

Research areas may include (but are not limited to) the following:

  • Intelligent sensors and actuators for smart building applications;
  • New hardware and communications technologies for smart building applications;
  • New communication architectures for smart building applications;
  • Security and privacy mechanisms for smart building applications;
  • Energy-efficient solutions for smart building and industrial applications;
  • Smart building IoT applications;
  • Novel architectures, concepts, and models for trustworthy smart buildings;
  • Attack and attacker simulation for smart buildings;
  • Access control models for smart buildings; and
  • Human factors in privacy and security of smart buildings.

We look forward to receiving your contributions. 

Dr. Liang Zhao
Dr. Wenli Shang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • IoT
  • IIoT
  • cyber-physical systems
  • wireless sensor networks
  • information security
  • intelligent buildings
  • smart buildings
  • indoor monitoring applications
  • indoor localization
  • monitoring system

Published Papers (4 papers)

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Research

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25 pages, 7928 KiB  
Article
Comparative Evaluation of the Performance of ZigBee and LoRa Wireless Networks in Building Environment
by Zhibin Liu, Yuxin Li, Liang Zhao, Ruobing Liang and Peng Wang
Electronics 2022, 11(21), 3560; https://doi.org/10.3390/electronics11213560 - 31 Oct 2022
Cited by 8 | Viewed by 2775
Abstract
ZigBee and LoRa are communication technologies widely used in the application of the Internet of things (IoT), especially in the field of smart building environmental monitoring. The main purpose of this study is to compare and analyze the transmission performance of ZigBee and [...] Read more.
ZigBee and LoRa are communication technologies widely used in the application of the Internet of things (IoT), especially in the field of smart building environmental monitoring. The main purpose of this study is to compare and analyze the transmission performance of ZigBee and LoRa wireless communication networks in the building. Through two indicators of packet loss rate (PLR) and round-trip time (RTT), this paper discusses in detail the transmission performance of ZigBee and LoRa technologies in whole buildings under the same working conditions. We set up three experimental scenarios of line-of-sight, horizontal and vertical to evaluate the communication performance of these two networks by changing the baud rate and packet length, and cost and power consumption were considered. Experiments have shown that LoRa networks outperform ZigBee networks in most cases and are the best choice for building communication networks. The experimental results provide basic data support and engineering reference for the application of these two technologies in buildings, especially for the deployment of communication networks throughout buildings. The innovation and contribution of this paper are to discuss the effect of packet length, baud rate, distance, and different locations within a building on the performance of ZigBee and LoRa transmissions, using RTT and PLR as metrics through three experimental scenarios. Full article
(This article belongs to the Special Issue Internet of Things for Smart Buildings)
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Review

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18 pages, 998 KiB  
Review
Survey on NLOS Identification and Error Mitigation for UWB Indoor Positioning
by Fang Wang, Hai Tang and Jialei Chen
Electronics 2023, 12(7), 1678; https://doi.org/10.3390/electronics12071678 - 2 Apr 2023
Cited by 12 | Viewed by 3467
Abstract
Ultra-wideband (UWB) positioning systems often operate in a non-line-of-sight (NLOS) environment. NLOS propagation has become the main source of ultra-wideband indoor positioning errors. As such, how to identify and correct NLOS errors has become a key problem that must be solved in high-accuracy [...] Read more.
Ultra-wideband (UWB) positioning systems often operate in a non-line-of-sight (NLOS) environment. NLOS propagation has become the main source of ultra-wideband indoor positioning errors. As such, how to identify and correct NLOS errors has become a key problem that must be solved in high-accuracy indoor positioning technology. This paper firstly describes the influence of the NLOS propagation path on localization accuracy and the generation method of ultra-wideband signals, and secondly classifies and analyzes the currently available algorithms for ultra-wideband non-line-of-sight (NLOS) identification and error suppression. For the identification of NLOS, the residual analysis judgement method, statistical feature class identification method, machine learning method and geometric feature judgement method are discussed. For the suppression of NLOS propagation errors, weighting-based methods, filtering-based methods, line-of-sight reconstruction algorithms, neural network algorithms, optimization methods with constraints, and path tracing methods are discussed. Finally, we conclude the paper and point out the problems that need to be solved in NLOS indoor positioning. Full article
(This article belongs to the Special Issue Internet of Things for Smart Buildings)
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30 pages, 2328 KiB  
Review
A State of Art Review on Methodologies of Occupancy Estimating in Buildings from 2011 to 2021
by Liang Zhao, Yuxin Li, Ruobing Liang and Peng Wang
Electronics 2022, 11(19), 3173; https://doi.org/10.3390/electronics11193173 - 2 Oct 2022
Cited by 9 | Viewed by 2393
Abstract
Occupancy information is important to building facility managers in terms of building energy efficiency, indoor environmental quality, comfort conditions, and safety management of buildings. When combing the distribution characteristics of the literature, it is found that the field of estimating occupancy counts is [...] Read more.
Occupancy information is important to building facility managers in terms of building energy efficiency, indoor environmental quality, comfort conditions, and safety management of buildings. When combing the distribution characteristics of the literature, it is found that the field of estimating occupancy counts is a very active area. Researchers from various countries have undertaken extensive explorations to obtain more research results. In this survey, the commonly used occupancy measurement systems and algorithms are described. Through the analysis and research of different occupancy measurement systems and algorithms, their advantages, disadvantages, and limitations are summarized, so that researchers can use them selectively. As for how to choose the method of estimating occupancy counts, suggestions are given in terms of the range of people, accuracy, cost, and privacy. There are still many pressing issues relating to high-density crowd occupancy counting, complex environmental impact, and system robustness. According to the current research progress and technology development trend, the possible future research directions are pointed out. The innovation of this review is the quantitative analysis of the selection of occupancy measurement systems for different ranges of people, and the occupancy counting accuracy situation of different measurement systems and algorithms. It provides more informed opinions on the selection of practical applications. It can be used by other researchers as a starting point for their research and/or project work. Full article
(This article belongs to the Special Issue Internet of Things for Smart Buildings)
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32 pages, 1965 KiB  
Review
Review of Communication Technology in Indoor Air Quality Monitoring System and Challenges
by Liang Zhao, Ye Yang and Zhenyu Wu
Electronics 2022, 11(18), 2926; https://doi.org/10.3390/electronics11182926 - 15 Sep 2022
Cited by 4 | Viewed by 3097
Abstract
In the past decade, with the development of communication technology, indoor air quality (IAQ) monitoring technology has made significant progress, which improves the real-time performance of the monitoring system, and reduces potential impacts on health-related pollutants. To investigate and analyze the development of [...] Read more.
In the past decade, with the development of communication technology, indoor air quality (IAQ) monitoring technology has made significant progress, which improves the real-time performance of the monitoring system, and reduces potential impacts on health-related pollutants. To investigate and analyze the development of IAQ monitoring technology and the application of communication technology in this field, this review conducts a comprehensive search, collation, and analysis of the literature in the relevant fields over the past decade, and reviews 91 articles from the usage scenarios, monitoring parameters, and communication technology of the IAQ monitoring system. The review shows the development and main research direction of IAQ monitoring, and focuses on the selection and application of communication technology in different projects. In addition, this study also discusses the problems and challenges in the IAQ monitoring system, which provides a reference for researchers and promotes the rapid and all-around development of IAQ monitoring. Full article
(This article belongs to the Special Issue Internet of Things for Smart Buildings)
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