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Internet of Things for Smart Homes and Industrial Application Volume...
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Internet of Things for Smart Homes and Industrial Application Volume II

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (23 December 2022) | Viewed by 11648

Special Issue Editors

Dr. Tiago M. Fernández-Caramés

E-Mail Website
Guest Editor
Department Computer Engineering, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain
Interests: blockchain; intelligent transportation systems; wireless sensor networks; fog computing; edge computing; industrial internet of things (IIoT); RFID; wireless communications; cybersecurity; augmented reality; industry 4.0; traceability
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Paula Fraga-Lamas

E-Mail Website
Guest Editor
Department of Computer Engineering, University of A Coruña (UDC), 15071 A Coruña, Spain
Interests: blockchain; distributed ledger technology (DLT); fog computing; internet of things; IIoT; cyber-physical systems; industry 4.0; defense and public safety; cybersecurity; wearables; industrial augmented reality; traceability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last few years, the improvement of wireless protocols, the development of new computing paradigms, and the lower cost of hardware have resulted in a new era for Internet of things (IoT) and Industrial IoT (IIoT) applications. IoT is especially useful for the interconnection of physical devices through networks, which allow for sharing data and for controlling their capabilities in real time, which is ideal for applications like the ones provided for home automation and industrial scenarios. Nonetheless, both of these fields require solving the challenges that suppose integrating automation mechanisms, heterogeneous hardware (e.g., sensors, actuators, and networking devices), and new communications technologies, all of which have to be aimed at improving the performance, energy-efficiency, security, comfort, and safety in our homes and industrial facilities.

This Special Issue looks for novel contributions related to the application of IoT and IIoT to smart homes and industrial applications. The main topics of interest include, but are not limited to, the following:

  • Intelligent sensors and actuators for smart home and smart building applications.
  • New hardware and communications technologies for smart home and smart building applications.
  • New communication architectures for smart home and smart building applications.
  • Technologies for the integration of smart homes and smart buildings within a smart city ecosystem.
  • Security and privacy mechanisms for smart home and industrial applications.
  • Energy-efficient solutions for smart home and industrial applications.
  • Smart home and smart building IoT applications.
  • Novel IIoT applications for industrial environments.
  • Smart sensors and actuators for Industry 4.0.
  • IIoT sensors and actuators for advanced industrial applications.
  • Cyber–physical systems for industrial applications.

Dr. Tiago M. Fernández-Caramés
Dr. Paula Fraga-Lamas
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. Sensors 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 2600 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
  • smart homes
  • smart buildings
  • industrial applications
  • Industry 4.0
  • home automation
  • smart sensors
  • CPS
  • smart cities

Published Papers (4 papers)

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Research

18 pages, 553 KiB  
Article
Exploiting Cooperative Downlink NOMA in D2D Communications
by Ashish Rauniyar, Olav N. Østerbø, Jan Erik Håkegård and Paal Engelstad
Sensors 2023, 23(8), 3958; https://doi.org/10.3390/s23083958 - 13 Apr 2023
Cited by 1 | Viewed by 1026
Abstract
We propose and investigate a bidirectional device-to-device (D2D) transmission scheme that exploits cooperative downlink non-orthogonal multiple access (NOMA) (termed as BCD-NOMA). In BCD-NOMA, two source nodes communicate with their corresponding destination nodes via a relaying node while exchanging bidirectional D2D messages simultaneously. BCD-NOMA [...] Read more.
We propose and investigate a bidirectional device-to-device (D2D) transmission scheme that exploits cooperative downlink non-orthogonal multiple access (NOMA) (termed as BCD-NOMA). In BCD-NOMA, two source nodes communicate with their corresponding destination nodes via a relaying node while exchanging bidirectional D2D messages simultaneously. BCD-NOMA is designed for improved outage probability (OP) performance, high ergodic capacity (EC) and high energy efficiency by allowing two sources to share the same relaying node for data transmission to their corresponding destination nodes while also facilitating bidirectional D2D communications exploiting downlink NOMA. Simulation and analytical expressions of the OP, EC and ergodic sum capacity (ESC) under both perfect and imperfect successive interference cancellation (SIC) are used to demonstrate the effectiveness of BCD-NOMA compared to conventional schemes. Full article
(This article belongs to the Special Issue Internet of Things for Smart Homes and Industrial Application Volume II)
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18 pages, 3234 KiB  
Article
A Privacy-Preserving Desk Sensor for Monitoring Healthy Movement Breaks in Smart Office Environments with the Internet of Things
by Ananda Maiti, Anjia Ye, Matthew Schmidt and Scott Pedersen
Sensors 2023, 23(4), 2229; https://doi.org/10.3390/s23042229 - 16 Feb 2023
Viewed by 2100
Abstract
Smart workplace Internet of Things (IoT) solutions rely on several sensors deployed efficiently in the workplace environment to collect accurate data to meet system goals. A vital issue for these sensor-based IoT solutions is privacy. Ideally, the occupants must be monitored discreetly, and [...] Read more.
Smart workplace Internet of Things (IoT) solutions rely on several sensors deployed efficiently in the workplace environment to collect accurate data to meet system goals. A vital issue for these sensor-based IoT solutions is privacy. Ideally, the occupants must be monitored discreetly, and the strategies for maintaining privacy are dependent on the nature of the data required. This paper proposes a new sensor design approach for IoT solutions in the workplace that protects occupants’ privacy. We focus on a novel sensor that autonomously detects and captures human movements in the office to monitor a person’s sedentary behavior. The sensor guides an eHealth solution that uses continuous feedback about desk behaviors to prompt healthy movement breaks for seated workers. The proposed sensor and its privacy-preserving characteristics can enhance the eHealth solution system’s performance. Compared to self-reporting, intrusive, and other data collection techniques, this sensor can collect the information reliably and timely. We also present the data analysis specific to this new sensor that measures two physical distance parameters in real-time and uses their difference to determine human actions. This architecture aims to collect precise data at the sensor design level rather than to protect privacy during the data analysis phase. Full article
(This article belongs to the Special Issue Internet of Things for Smart Homes and Industrial Application Volume II)
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18 pages, 4786 KiB  
Article
Health to Eat: A Smart Plate with Food Recognition, Classification, and Weight Measurement for Type-2 Diabetic Mellitus Patients’ Nutrition Control
by Salaki Reynaldo Joshua, Seungheon Shin, Je-Hoon Lee and Seong Kun Kim
Sensors 2023, 23(3), 1656; https://doi.org/10.3390/s23031656 - 02 Feb 2023
Cited by 7 | Viewed by 5224
Abstract
The management of type 2 diabetes mellitus (T2DM) is generally not only focused on pharmacological therapy. Medical nutrition therapy is often forgotten by patients for several reasons, such as difficulty determining the right nutritional pattern for themselves, regulating their daily nutritional patterns, or [...] Read more.
The management of type 2 diabetes mellitus (T2DM) is generally not only focused on pharmacological therapy. Medical nutrition therapy is often forgotten by patients for several reasons, such as difficulty determining the right nutritional pattern for themselves, regulating their daily nutritional patterns, or even not heeding nutritional diet recommendations given by doctors. Management of nutritional therapy is one of the important efforts that can be made by diabetic patients to prevent an increase in the complexity of the disease. Setting a diet with proper nutrition will help patients manage a healthy diet. The development of Smart Plate Health to Eat is a technological innovation that helps patients and users know the type of food, weight, and nutrients contained in certain foods. This study involved 50 types of food with a total of 30,800 foods using the YOLOv5s algorithm, where the identification, measurement of weight, and nutrition of food were investigated using a Chenbo load cell weight sensor (1 kg), an HX711 weight weighing A/D module pressure sensor, and an IMX219-160 camera module (waveshare). The results of this study showed good identification accuracy in the analysis of four types of food: rice (58%), braised quail eggs in soy sauce (60%), spicy beef soup (62%), and dried radish (31%), with accuracy for weight and nutrition (100%). Full article
(This article belongs to the Special Issue Internet of Things for Smart Homes and Industrial Application Volume II)
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17 pages, 2460 KiB  
Article
A Recommender System for Robust Smart Contract Template Classification
by Sandi Gec, Vlado Stankovski, Dejan Lavbič and Petar Kochovski
Sensors 2023, 23(2), 639; https://doi.org/10.3390/s23020639 - 05 Jan 2023
Cited by 2 | Viewed by 2296
Abstract
IoT environments are becoming increasingly heterogeneous in terms of their distributions and included entities by collaboratively involving not only data centers known from Cloud computing but also the different types of third-party entities that can provide computing resources. To transparently provide such resources [...] Read more.
IoT environments are becoming increasingly heterogeneous in terms of their distributions and included entities by collaboratively involving not only data centers known from Cloud computing but also the different types of third-party entities that can provide computing resources. To transparently provide such resources and facilitate trust between the involved entities, it is necessary to develop and implement smart contracts. However, when developing smart contracts, developers face many challenges and concerns, such as security, contracts’ correctness, a lack of documentation and/or design patterns, and others. To address this problem, we propose a new recommender system to facilitate the development and implementation of low-cost EVM-enabled smart contracts. The recommender system’s algorithm provides the smart contract developer with smart contract templates that match their requirements and that are relevant to the typology of the fog architecture. It mainly relies on OpenZeppelin, a modular, reusable, and secure smart contract library that we use when classifying the smart contracts. The evaluation results indicate that by using our solution, the smart contracts’ development times are overall reduced. Moreover, such smart contracts are sustainable for fog-computing IoT environments and applications in low-cost EVM-based ledgers. The recommender system has been successfully implemented in the ONTOCHAIN ecosystem, thus presenting its applicability. Full article
(This article belongs to the Special Issue Internet of Things for Smart Homes and Industrial Application Volume II)
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