Special Issue "Smart Systems: Challenges, Enabling Technologies and Software Solutions"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Wireless Control Networks".

Deadline for manuscript submissions: closed (30 November 2021).

Special Issue Editors

Prof. Dr. Sanja Lazarova-Molnar
E-Mail Website
Guest Editor
Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark
Interests: modelling and simulation; decision support systems; data analytics; artificial intelligence; Industry 4.0; cyber-physical systems; reliability analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jameela Al-Jaroodi
E-Mail Website
Guest Editor
Department of Engineering, Robert Morris University, Moon Township, PA 15108, USA
Interests: distributed systems; middleware; software engineering; smart systems; UAV; CPS and IoT/IIoT
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nader Mohamed
E-Mail Website
Guest Editor
California University of Pennsylvania, PA, United States
Interests: industry 4.0; cybersecurity; middleware; cloud and fog computing; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Gear Colleagues,

Our reality nowadays is being flooded with all kinds of smart systems, ranging from mundane mobile-based smart applications all the way up to industrial highly complex smart systems. Smart systems are used currently to address social, economic, personal, and environmental issues, such as limited resources, climate change, sustainability, and population aging. The objectives are to increase efficiency and improve performance in addition to creating autonomous systems, thus reducing the need for human interventions whenever possible. For instance, they are used to address transportation issues in urban areas; improve healthcare services access and quality; enhance energy production utilization and environmental impact; streamline, optimize and automate logistics operations, and reduce manual labor and enhance decision making in manufacturing. Smart systems incorporate functions of sensing, actuation, analysis and control for describing and analyzing various situations, and consequently making decisions based on the available data in a predictive or adaptive manner. These decisions further result in smart systems performing smart actions. In most cases, the “smartness” of the system can be attributed to autonomous operations based on closed loop controls, supported by advanced hardware, networking, software, analytics, and autonomous decision making capabilities. The focus of this Special Issue is on the challenges associated with smart systems; the enabling technologies in hardware devices, networking, sensing and control tools; and the software solution approaches including data analytics, decision making algorithms, optimization techniques, and intelligent algorithms.

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

  • Sensors, Actuators, and Control Devices and Techniques
  • Integration Challenges Solution Approaches
  • Interoperability Issues and Solutions
  • Decision Support Mechanisms
  • Data Management and Data Analytics
  • Intelligent Algorithms
  • Modeling and Simulation Techniques
  • Internet of Things (IoT)
  • Cyber Physical systems (CPS)
  • Smart Systems Applications and Domains
  • Theoretical and Practical Challenges
  • Security and Privacy Issues
  • Blockchain for Smart Systems Applications
  • Risks and Risk Management
  • Software Engineering Solutions
  • Legal and Ethical Challenges
  • Industry 4.0 and Smart Manufacturing
  • Platforms for Smart Systems
  • Cases Studies on Current Implementations of Smart Systems

Prof. Dr. Sanja Lazarova-Molnar
Prof. Dr. Jameela Al-Jaroodi
Prof. Dr. Nader Mohamed
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 papers will be 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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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 1600 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.


  • Smart Systems
  • Internet of Things
  • Industry 4.0
  • Decision Support
  • Sensors and Actuators
  • Artificial intelligence
  • Modeling and Simulation
  • Security and Privacy
  • Ethics

Published Papers (1 paper)

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Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology
J. Sens. Actuator Netw. 2021, 10(3), 40; https://doi.org/10.3390/jsan10030040 - 25 Jun 2021
Cited by 3 | Viewed by 689
The present work proposed a low-cost portable device as an enabling technology for agriculture using multispectral imaging and machine learning in soil texture. Clay is an important factor for the verification and monitoring of soil use due to its fast reaction to chemical [...] Read more.
The present work proposed a low-cost portable device as an enabling technology for agriculture using multispectral imaging and machine learning in soil texture. Clay is an important factor for the verification and monitoring of soil use due to its fast reaction to chemical and surface changes. The system developed uses the analysis of reflectance in wavebands for clay prediction. The selection of each wavelength is performed through an LED lamp panel. A NoIR microcamera controlled by a Raspberry Pi device is employed to acquire the image and unfold it in RGB histograms. Results showed a good prediction performance with R2 of 0.96, RMSEC of 3.66% and RMSECV of 16.87%. The high portability allows the equipment to be used in a field providing strategic information related to soil sciences. Full article
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