Special Issue "Advanced CPS for Industry 4.0"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 January 2018)

Special Issue Editor

Editor-in-Chief
Prof. Paolo Bellavista

Department of Computer Science and Engineering (DISI), University of Bologna, 40136 Bologna, Italy
Website | E-Mail
Phone: +39-051-20 93866
Fax: +39-051-20 93953
Interests: wireless sensor and actuator networks; middleware for sensor and actuator networks; vehicular sensor networks; online stream processing of sensing dataflows; IoT and big data processing; pervasive computing; cooperative networking; context management; location-based services and support

Special Issue Information

Dear Colleagues,

This Special Issue has the ambition to give a fresh overview of the recent advancements on Cyber Physical System (CPS) solutions for efficient industry processes, in particular about technical challenges and solutions for scalability in cloud-integrated CPS.

The evolution of embedded systems into innovative CPS is critical to enabling the development of many innovative products, services, and applications in developed economies. Making the design; development; implementation; deployment; and runtime monitoring, tuning, and management of CPS applications more efficient is central to both the growing of the global CPS market and the advancement of industrial processes (Industry 4.0), in particular, in terms of efficiency. Middleware could play a critical role in this process, as could the efficient integration of CPS with cloud resources, which is crucial for achieving scalability in large-scale deployments, such as smart cities.

This Special Issue aims to address these important issues, particularly achieving scalability via efficient and cost-effective integration with cloud resources. The Special Issue will cover the latest developments in models, methodologies, technical solutions, and large-scale industrial experiences relating to efficient and scalable middleware and application software for cloud-integrated CPS. Appropriate topics include, but are not limited to:

  • Efficient solutions for determining and integrating sensor/actuator localities via the cloud

  • Scalability-oriented topology organization of sensor/actuator localities

  • Edge computing and mobile edge computing for scalable CPS–cloud integration

  • Federated management of heterogeneous cloud resources integrated with wide-scale CPS

  • Programming abstractions and models for cloud-integrated CPS

  • Sensor/actuator-hosted middleware for scalable integration with CPS gateways

  • Gateway-hosted middleware for scalable CPS

  • Cloud-hosted middleware for scalable and time-constrained CPS

  • Flexible resource allocation and workload mobility of cloud-integrated CPS

  • Data/actuation quality requirements and guarantees for large-scale CPS

  • Offline big data analytics and online stream processing for scalable CPS

  • Experimental studies of large industrial testbeds for scalable cloud-integrated CPS

  • Lessons learned from large-scale deployments of cloud-integrated CPS

  • Scalable security and privacy management in wide-scale cloud-integrated CPS

Prof. Dr. Paolo Bellavista
Guest Editor

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. Computers 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 350 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

  • Cyber Physical Systems (CPS)

  • Industry 4.0

  • Sensors

  • Actuators

  • Cloud Computing

  • Middleware

  • Edge and Fog Computing

Published Papers (1 paper)

View options order results:
result details:
Displaying articles 1-1
Export citation of selected articles as:

Research

Open AccessArticle CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies
Received: 16 November 2017 / Revised: 28 January 2018 / Accepted: 29 January 2018 / Published: 2 February 2018
PDF Full-text (1185 KB) | HTML Full-text | XML Full-text
Abstract
This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses. First, efficient CPS data collection: when limited
[...] Read more.
This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses. First, efficient CPS data collection: when limited communication bandwidth meets numerous CPS devices, we need to make more effort to study efficient wireless communication scheduling strategies. Second, accurate and robust localization: localization is the basis for many fundamental operations in smart warehouses, but still needs to be improved from various aspects like accuracy and robustness. Third, human activity recognition: human activity recognition can be applied in human–computer interaction for remote machine operations. Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms should be investigated. Finally, we point out some challenging issues in the future CPS-based smart warehouse, which could open some new research directions. Full article
(This article belongs to the Special Issue Advanced CPS for Industry 4.0)
Figures

Figure 1

Back to Top