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Wireless Sensor Networks on Internet of Things and Intelligent System
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Wireless Sensor Networks on Internet of Things and Intelligent System

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 32208

Special Issue Editors

Prof. Dr. Subhas Mukhopadhyay

E-Mail Website
Guest Editor
School of Engineering, Macquarie University, Sydney, NSW 2109, Australia
Interests: smart sensors; sensing technology; WSN; IoT; ICT; smart grid; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jih-Fu Tu

E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, St. John’s University, New Taipei City, 25135 Taiwan
Interests: human–computer interaction; internet technologies; distributed processing systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the coming years, the “Industry 4.0” is an important hub for mechanical, electrical and other “hidden champion” industries. No matter how, the government, companies, academies have devoted many resource and much effort to raising the industrial. The Internet of Thing (IoT) and Intelligence System are based on Wireless Sensor Networks (WSN) to attach and had become one of the well-known scientific events worldwide in industry. We invite the submission of papers related to various aspects of Wireless Sensor Networks to apply in Intelligence Design and System of industries.

The main topics of interest include, but are not limited to:

  • Theories or application of Wireless Sensor Networks (WSN)
  • Theories or application of Internet-of-Things (IoT)
  • Intelligence Electronic Circuits and Systems Design
  • Design, Simulation, and Applications of Intelligence Electronic Circuits
  • Saving Energy and Electrical Engineering Methods
  • Intelligence Theories, System, and Circuits Design
  • Intelligence Circuit and System Design Tools
  • Big Data Communication and Databased Applied on IoT
  • Others related to Wireless Sensor Networks or Intelligence Design and System

Prof. Dr. Subhas Chandra Mukhopadhyay
Prof. Dr. Jih-Fu Tu
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. Applied System Innovation 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 1400 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.

Published Papers (4 papers)

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Research

12 pages, 4366 KiB  
Article
A Multiprotocol Wireless Sensor Network for High Performance Sport Applications
by Vincenzo Bonaiuto, Paolo Boatto, Nunzio Lanotte, Cristian Romagnoli and Giuseppe Annino
Appl. Syst. Innov. 2018, 1(4), 52; https://doi.org/10.3390/asi1040052 - 19 Dec 2018
Cited by 10 | Viewed by 4251
Abstract
The use of a network of wearable sensors placed on the athlete or installed into sport equipment is able to offer, in a real sport environment rather than in the unspecific spaces of a laboratory, a valuable real-time feedback to the coach during [...] Read more.
The use of a network of wearable sensors placed on the athlete or installed into sport equipment is able to offer, in a real sport environment rather than in the unspecific spaces of a laboratory, a valuable real-time feedback to the coach during practice. This is made possible today by the coordinate use of a wide range of kinematic, dynamic, and physiological sensors. Using sensors makes training more effective, improves performance assessment, and can help in preventing injuries. In this paper, a new wireless sensor network (WSN) system for elite sport applications is presented. The network is made up of a master node and up to eight peripheral nodes (slave nodes), each one containing one or more sensors. The number of nodes can be increased with second level slave nodes; the nature of sensors varies depending on the application. Communication between nodes is made via a high performance 2.4 GHz transceiver; the network has a real-life range in excess of 100 m. The system can therefore be used in applications where the distance between nodes is long, for instance, in such sports as kayaking, sailing, and rowing. Communication with user and data download are made via a Wi-Fi link. The user communication interface is a webpage and is therefore completely platform (computer, tablet, smartphone) and operating system (Windows, iOS, Android, etc.) independent. A subset of acquired data can be visualized in real time on multiple terminals, for instance, by athlete and coach. Data from kayaking, karting, and swimming applications are presented. Full article
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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12 pages, 1795 KiB  
Communication
Feasibility Analysis of a LoRa-Based WSN Using Public Transport
by Silvano Bertoldo, Lorenzo Carosso, Emanuele Marchetta, Miryam Paredes and Marco Allegretti
Appl. Syst. Innov. 2018, 1(4), 49; https://doi.org/10.3390/asi1040049 - 10 Dec 2018
Cited by 18 | Viewed by 3843
Abstract
LoRa (Long Range) is a proprietary radio communication technology exploiting license-free frequency bands, allowing low-rate information exchange over long distances with very low power consumption. Conventional environmental monitoring sensors have the disadvantage of being in fixed positions and distributed over wide areas, thus [...] Read more.
LoRa (Long Range) is a proprietary radio communication technology exploiting license-free frequency bands, allowing low-rate information exchange over long distances with very low power consumption. Conventional environmental monitoring sensors have the disadvantage of being in fixed positions and distributed over wide areas, thus providing measurements with a spatially insufficient level of detail. Since public transport vehicles travel continuously within cities, they are ideal to house portable monitoring systems for environmental pollution and meteorological parameters. The paper presents a feasibility analysis of a Wireless Sensor Network (WSN) to collect this information from the vehicles conveying it to a central node for processing. The communication system is realized by deploying a layer-structured, fault-resistant, multi-hop Low Power Wide Area Network (LPWAN) based on the LoRa technology. Both a theoretical study about electromagnetic propagation and network architecture are addressed with consideration of potential practical network realization. Full article
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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22 pages, 9750 KiB  
Article
Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol
by Sharnil Pandya, Hemant Ghayvat, Ketan Kotecha, Mohammed Awais, Saeed Akbarzadeh, Prosanta Gope, Subhas Chandra Mukhopadhyay and Wei Chen
Appl. Syst. Innov. 2018, 1(4), 42; https://doi.org/10.3390/asi1040042 - 23 Oct 2018
Cited by 33 | Viewed by 19073
Abstract
The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research [...] Read more.
The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT) and Cognitive Internet of Things are expanding smart home concepts and solutions, and their applications. The present research proposes a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clothing, leather, fiber, or plastic materials. The proposed system can also detect an intruder in the dark using a CCTV camera without night vision capability. The fundamental idea was to design a cost-effective and efficient system for an individual to be able to detect any kind of theft in real-time and provide instant notification of the theft to the house owner. The system also promises to implement home security with large video data handling in real-time. The investigation results validate the success of the proposed system. The system accuracy has been enhanced to 97.01%, 84.13, 78.19%, and 66.5%, in scenarios where a detected intruder had not hidden his/her face, hidden his/her face partially, fully, and was detected in the dark from 85%, 64.13%, 56.70%, and 44.01%. Full article
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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12 pages, 5067 KiB  
Article
Developing a Decision Support System (DSS) for a Dental Manufacturing Production Line Based on Data Mining
by Yu-Jie Cheng, Ming-Huang Chen, Fu-Chi Cheng, Yu-Chi Cheng, Yu-Sheng Lin and Cheng-Jung Yang
Appl. Syst. Innov. 2018, 1(2), 17; https://doi.org/10.3390/asi1020017 - 30 May 2018
Cited by 3 | Viewed by 4058
Abstract
In this study, an Industry 4.0 framework-based decision support system (DSS) was developed using a combination of wireless network and RFID identification technology to manage a production line in a traditional dental manufacturing lab. The motivation was to prevent mistakes from manual recording, [...] Read more.
In this study, an Industry 4.0 framework-based decision support system (DSS) was developed using a combination of wireless network and RFID identification technology to manage a production line in a traditional dental manufacturing lab. The motivation was to prevent mistakes from manual recording, to remotely monitor the working hours of employees in manufacturing processes via internet, and to evaluate the rationality of the employee’s working hours. In the DSS, four network nodes were established to track four important manufacturing processes of digital dentistry. In each of these processes, the time spent by the dental technician was recorded by scanning their ID cards. All information was simultaneously uploaded to a databank in the cloud and analyzed by the computer software MATLAB. These programs evaluated the rationality of employees’ working hours in each of the monitored processes, which can help managers to follow up or improve the process efficiency. Full article
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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