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Special Issue "Signal Processing for Intelligent Sensor Systems"

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

Deadline for manuscript submissions: 15 April 2019

Special Issue Editor

Guest Editor
Dr. Pedro Peris-Lopez

Carlos III University of Madrid, Department of Computer Science, Computer Security Lab (COSEC), Sabatini Building (2.2.A04), Avenida de la Universidad, 30, 28911, Leganés, Madrid, Spain
Website | E-Mail
Interests: hardware security; cryptography; signal processing

Special Issue Information

Dear Colleagues,

We live in an era where real-time information acquisition is crucial, and much of this information is provided by small devices called sensors. The use of these sensors is highly varied, and they are used in areas as diverse as the agriculture, health, and military sectors, to name a few. In the past, sensors had very constrained computing capabilities, so their functionality was mainly limited to data acquisition and transmission. Energy consumption is often also a determining factor in these devices.

Today, some sensors have signal processing capabilities and are called intelligent sensors. On the other hand, the intelligence of these sensors (or of the systems in which they are integrated) can be improved with artificial intelligence techniques. In addition, it is also a current trend to merge information from various types of sensors to have a richer and more reliable system in decision-making.

This Special Issue tries to bring together all the latest developments in the area of intelligent sensors systems. The topics of this issue include but are not limited to the following:

  • signal processing for intelligent sensors
  • artificial intelligence for intelligent sensors
  • Big Data for intelligent sensors systems
  • security and privacy for intelligent sensors
  • cybersecurity for intelligent sensors
  • low-cost solutions for intelligent sensors
  • hardware design and solutions for intelligent sensors
  • e-health and intelligent sensors
  • intelligent sensors in the biomedical context
  • new trends and applications for intelligent sensors

Dr. Pedro Peris-Lopez
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. 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 1800 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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Open AccessArticle A Successive Approximation Time-to-Digital Converter with Single Set of Delay Lines for Time Interval Measurements
Sensors 2019, 19(5), 1109; https://doi.org/10.3390/s19051109
Received: 7 December 2018 / Revised: 22 February 2019 / Accepted: 27 February 2019 / Published: 5 March 2019
PDF Full-text (10456 KB) | HTML Full-text | XML Full-text
The paper is focused on design of time-to-digital converters based on successive approximation (SA-TDCs—Successive Approximation TDCs) using binary-scaled delay lines in the feedforward architecture. The aim of the paper is to provide a tutorial on successive approximation TDCs (SA-TDCs) on the one hand, [...] Read more.
The paper is focused on design of time-to-digital converters based on successive approximation (SA-TDCs—Successive Approximation TDCs) using binary-scaled delay lines in the feedforward architecture. The aim of the paper is to provide a tutorial on successive approximation TDCs (SA-TDCs) on the one hand, and to make the contribution to optimization of SA-TDC design on the other. The proposed design optimization consists essentially in reduction of circuit complexity and die area, as well as in improving converter performance. The main paper contribution is the concept of reducing SA-TDC complexity by removing one of two sets of delay lines in the feedforward architecture at the price of simple output decoding. For 12 bits of resolution, the complexity reduction is close to 50%. Furthermore, the paper presents the implementation of 8-bit SA-TDC in 180 nm CMOS technology with a quantization step 25 ps obtained by asymmetrical design of pair of inverters and symmetrized multiplexer control. Full article
(This article belongs to the Special Issue Signal Processing for Intelligent Sensor Systems)

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