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Towards Convergence of Internet of Things and Cyber-Physical Systems

This special issue belongs to the section “Internet of Things“.

Special Issue Information

Dear Colleagues,

Cyberphysical systems (CPS) are computer systems in which a mechanism is controlled or monitored by computer-based algorithms. Physical and software components are deeply intertwined, and their interaction describes many of the challenges from various fields including smart grids, autonomous automobile systems, medical monitoring, industrial control systems, and robotics systems, among others.

This concept produces synergies with the more established concept of the Internet of Things, describing the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet.

Currently, both concepts have evolved towards a convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems in addition to the traditional fields of wireless sensor networks, control systems, automation (including home and building automation).

This Special Issue aims to cover the most recent technical advances in CPS and IoT aspects, including theory, tools, applications, systems, testbeds, and field deployments, within a unified perspective comprising interacting logical, physical, and human components engineered for function through integrated logic and physics.

This Special Issue especially welcomes proposals of hybrid discrete and continuous methods and engineering foundations for CPS/IoT design, operation, and assurance considering the tight logical–physical linkage as the basis for the transformational nature of CPS/IoT systems.

Appropriate topics include, but are not limited to:

CPS/IoT in environmental monitoring

CPS/IoT in healthcare

CPS/IoT in smart environments (home, offices, cities)

CPS/IoT in transportation and logistics (automotive)

CPS/IoT enabling technologies and semantic web technologies

CPS/IoT and cloud computing/big data

Testing techniques for CPS/IoT

Formal verification techniques for CPS/IoT

Middleware and service development for CPS/IoT

Tools and infrastructure for CPS/IoT testing, analysis, or verification

Using simulation to support testing for CPS/IoT

As-a-service for CPS/IoT

Modeling techniques for CPS/IoT to support testing and verification

Dr. Ramon Alcarria
Dr. Borja Bordel
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 250 words) can be sent to the Editorial Office for assessment.

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. Future Internet is an international peer-reviewed open access monthly 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.

Keywords

  • Internet of Things (IoT)
  • cybersecurity
  • cyberphysical systems
  • mobile and cloud computing
  • big data
  • machine learning

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Future Internet - ISSN 1999-5903