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Digital Signal Processing, Computational Methods and Sensor Networks for Engineering Applications: 2nd Edition

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

Deadline for manuscript submissions: 25 March 2025 | Viewed by 947

Special Issue Editors


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Guest Editor
Associate Professor, Department of Electrical, Electronics and Informatics Engineering, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy
Interests: wavelet theory; neural networks; statistical pattern recognition; bayesian networks; theory and design of linear and nonlinear digital/analog filters; integrated generation systems; renewable energy sources; and battery storage modeling and simulation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
UNICT, Department of Electrical, Electronics and Informatics Engineering (DIEEI), University of Catania, 95125 Catania, Italy
Interests: neural networks; electronic devices; organic solar cells; photovoltaic; renewable energy; renewable energy sources; pattern recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Micro-electromechanical system (MEMS) technology has undergone a tremendous evolution in recent decades. The integration level that has been reached allows us to develop sensors with small computational devices possessing fully functional storage and communication capabilities. Such hardware systems are generally constructed to perform some measurements and transmit the collected data as digital signals. Mobile sensor networks are capable of joining different datasets coming from different sources in order to gather a more complete understanding of a diagnostic context; therefore, such sensors networks provide advanced monitoring solutions. The data for such computation efforts are usually fuzzy, and, using artificial intelligence and numerical methods, it is possible to solve many problems.

This Special Issue is focused on digital signal processing, sensor networks, and engineering applications in all kinds of applied scientific and practical problems, such as signal processing, engineering, physics, biology, economics, etc. The aim is to present different soft computation, mathematical modeling, and digital signal processing applications.

Potential topics include, but are not limited to, the following:

  • Mobile sensor networks;
  • Sensor networks;
  • Digital signal processing in sensor networks;
  • Digital signal processing;
  • Process optimization with heuristic algorithms;
  • Applications of soft computation;
  • Solving engineering problems with artificial intelligence, numerical methods, and mathematical modeling;
  • Optimal management of engineering systems;
  • Hardware and software implementation.

Dr. Giacomo Capizzi
Dr. Grazia Lo Sciuto
Dr. Luca Di Nunzio
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.

Keywords

  • sensor networks
  • mobile sensor networks
  • digital signal processing in sensor networks
  • digital signal processing
  • mathematical modeling
  • optimization problems
  • numerical methods
  • inverse problems
  • heuristic algorithms
  • artificial intelligence
  • fuzzy logic

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Published Papers (1 paper)

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Research

18 pages, 5057 KiB  
Article
Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy Logic
by Kwame Owusu Ampadu and Michael Huebner
Sensors 2025, 25(1), 152; https://doi.org/10.3390/s25010152 - 30 Dec 2024
Viewed by 452
Abstract
Occasionally, four cars arrive at the four legs of an unsignalized intersection at the same time or almost at the same time. If each lane has a stop sign, all four cars are required to stop. In such instances, gestures are used to [...] Read more.
Occasionally, four cars arrive at the four legs of an unsignalized intersection at the same time or almost at the same time. If each lane has a stop sign, all four cars are required to stop. In such instances, gestures are used to communicate approval for one vehicle to leave. Nevertheless, the autonomous vehicle lacks the ability to participate in gestural exchanges. A sophisticated in-vehicle traffic light system has therefore been developed to monitor and facilitate communication among autonomous vehicles and classic car drivers. The fuzzy logic-based system was implemented and evaluated on a self-organizing network comprising eight ESP32 microcontrollers, all operating under the same program. A single GPS sensor connects to each microcontroller that also manages three light-emitting diodes. The ESPNow broadcast feature is used. The system requires no internet service and no large-scale or long-term storage, such as the driving cloud platform, making it backward-compatible with classical vehicles. Simulations were conducted based on the order and arrival direction of vehicles at three junctions. Results have shown that autonomous vehicles at four-legged intersections can now communicate with human drivers at a much lower cost with precise position classification and lane dispersion under 30 s. Full article
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