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Sensor Facilitated Cyber-Physical Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (1 May 2021) | Viewed by 4047

Special Issue Editors


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Guest Editor
School of Computer Science, China University of Geosciences, Wuhan 430074, China
Interests: edge computing; cloud computing; data mining; IoT
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: embedded systems; cloud-edge-IoT; cyber-physical systems

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Guest Editor
INRIA Rennes Research Center, University of Rennes 1 and IRISA, 35000 Rennes, France
Interests: embedded systems; real-time systems; mixed–critical systems; design space exploration; fault tolerance; scheduling/mapping techniques; software/hardware co-design; low power design; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Leveraged by the information technologies of cyberphysical systems (CPS), the sensor-facilitated industry have made significant progress. Typical applications of sensor-facilitated CPS in industry include automation, manufacturing, robots, remote sensing and data analytics, etc. Meanwhile, with the cyber-representation of physical assets in the industrial environment, sensor-facilitated CPS also faces tremendous challenges. For example, CPS architecture needs to be well designed, cybersecurity for sensors in industrial environment needs to be defended, and a large amount of complex data needs efficient analytics. To address these, methodologies, solutions, approaches, and algorithms for sensor-facilitated CPS are highly sought after.

This Special Issue is to provide a platform for researchers to present solutions, approaches, and algorithms for CPS in the industrial environment. The topics of interest for this Special Issue include but are not limited to:

  • Architecture design for sensor-facilitated CPS;
  • Embedded system design and hardware and software co-design for sensor-facilitated CPS;
  • Cloud, fog, and edge computing for sensor-facilitated CPS;
  • Cybersecurity for sensor-facilitated CPS;
  • Advanced complex data analytics for sensor-facilitated CPS;
  • Location-based services and applications for sensor-facilitated CPS
  • Performance optimization for sensor-facilitated CPS.

Prof. Dr. Yunliang Chen
Prof. Dr. Junlong Zhou
Prof. Dr. Angeliki Kritikakou
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. Sensors 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 2600 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 (1 paper)

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Research

17 pages, 6001 KiB  
Article
A Seismic Data Acquisition System Based on Wireless Network Transmission
by Yanxia Huang, Junlei Song, Wenqin Mo, Kaifeng Dong, Xiangning Wu, Jianyi Peng and Fang Jin
Sensors 2021, 21(13), 4308; https://doi.org/10.3390/s21134308 - 24 Jun 2021
Cited by 7 | Viewed by 3534
Abstract
A seismic data acquisition system based on wireless network transmission is designed to improve the low-frequency response and low sensitivity of the existing acquisition system. The system comprises of a piezoelectric transducer, a high-resolution data acquisition system, and a wireless communication module. A [...] Read more.
A seismic data acquisition system based on wireless network transmission is designed to improve the low-frequency response and low sensitivity of the existing acquisition system. The system comprises of a piezoelectric transducer, a high-resolution data acquisition system, and a wireless communication module. A seismic piezoelectric transducer based on a piezoelectric simply supported beam using PMN-PT is proposed. High sensitivity is obtained by using a new piezoelectric material PMN-PT, and a simply supported beam matching with the PMN-PT wafer is designed, which can provide a good low-frequency response. The data acquisition system includes an electronic circuit for charge conversion, filtering, and amplification, an FPGA, and a 24-bit analog-to-digital converter (ADC). The wireless communication was based on the ZigBee modules and the WiFi modules. The experimental results show that the application of the piezoelectric simply supported beam based on PMN-PT can effectively improve the sensitivity of the piezoelectric accelerometer by more than 190%, compared with the traditional PZT material. At low frequencies, the fidelity of the PMN-PT piezoelectric simply supported beam is better than that of a traditional central compressed model, which is an effective expansion of the bandwidth to the low-frequency region. The charge conversion, filtering, amplification, and digitization of the output signal of the piezoelectric transducer are processed and, finally, are wirelessly transmitted to the monitoring centre, achieving the design of a seismic data acquisition system based on wireless transmission. Full article
(This article belongs to the Special Issue Sensor Facilitated Cyber-Physical Systems)
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