Open Special Issue on Green Computing and Smart IoT Systems for Industry and Human Domains

2022-08-29

Open Special Issue on Green Computing and Smart IoT Systems for Industry and Human Domains

Information and communication technologies (ITs) and IT-based systems are, on the one side, a mean for energy systems and grids monitoring, control and instrumentation, power low management and safety ensuring. On the other side, IT-based systems, networks and infrastructures are weighty consumers of energy and other resources.

The most challengeable IT domains which can be called energy or power consumption critical are mobile and Internet of Things (IoT) systems. For such systems time of autonomous operation is extremely important. The same challenge is key for on-board software or FPGA based devices and systems for human, transport, space and other industry applications. Development of green software and green computing is a hot trend of IT engineering as a whole.

The primary purpose of the special issue is to discuss these problems. We would like to invite researchers, developers, experts on green IT engineering, mobile and smart systems, IoT and Industry 4.0 technologies to submit development and implementation techniques, methods and tools for assessment, optimization and improving of energy, power and resource as a whole related characteristics of embedded and distributed systems.

Potential topics include but are not limited to the following:

  • Green IT engineering methodology for smart, mobile and IoT systems
  • Energy critical systems and modulated computing
  • Development techniques and tools for green computing
  • Experiments and analysis of smartphone energy, performance and operation
  • Green logic and programmable logic devices design and testing
  • Energy efficient FPGA- and SW-based embedded systems
  • Smart systems and Industrial IoT applications
  • Dependable systems and services for industry and human
  • Adaptive wireless networking for energy effective systems
  • Smart grid safety and security assessment and assurance
  • Green and smart building systems based on IoT and mobile technologies
  • Foresight-research for development and application of mobile and IoT systems
  • Educational issues of green computing and communication
  • University and IT-industry cooperation in energy critical domains

It is our pleasure to invite you to submit your paper for publication in the Special Issue on Green Computing and Smart IoT Systems for Industry and Human Domains at the International Journal of Computing, www.computingonline.net.

The paper has to be submitted in electronic form as a MS Word file. It must begin with a short abstract and keywords. It must end with a brief biography (education, position and scientific interests) and a photo of each author. Complete author’s guidelines are available at http://computingonline.net/files/journals/1/template-1.doc. The typical paper length is 8-10 pages but it could be extended if necessary.

Deadlines:

  • Paper submission deadline - June 15, 2021

Submission is closed.

Lead Guest Editor:

  • Vyacheslav Kharchenko, National AerospaceUniversity “KhAIâ€, Kharkiv, Ukraine

Guest Editors:

  • Andrzej Rusincki, New Hampshire University, USA
  • Nikolaos Bardis, Hellenic Army Academy, Greece

 

Published papers (5)

Kharchenko, V., Bardis, N., & Rucinski, A. (2022). Editorial “Green Computing, Monitoring and Assessing of Smart IoT Systems and Components”. International Journal of Computing, 21(1), 89-91. https://doi.org/10.47839/ijc.21.1.2521  

Chernetskyi, B., Kharchenko, V., & Orehov, A. (2022). Wireless Sensor Network based Forest Fire Early Detection Systems: Development and Implementation. International Journal of Computing, 21(1), 92-99. https://doi.org/10.47839/ijc.21.1.2522  

Manzhos, Y. S., & Sokolova, Y. V. (2022). A Method of IoT Information Compression. International Journal of Computing, 21(1), 100-110. https://doi.org/10.47839/ijc.21.1.2523  

Gordieiev, O., Kharchenko, V., & Gordieieva, D. (2022). Software Requirements Profile Quality Model. International Journal of Computing, 21(1), 111-119. https://doi.org/10.47839/ijc.21.1.2524 

Talakh, M. V., Holub, S. V., Luchshev, P. O., & Turkin, I. B. (2022). Intelligent Monitoring of Air Temperature by the DATA of Satellites and Meteorological Stations. International Journal of Computing, 21(1), 120-127. https://doi.org/10.47839/ijc.21.1.2525