Smart Sensors for Critical Systems

Dear Colleagues,

Critical systems are progressively being considered in diverse fields of applications, using smart technologies with increasing levels of integration between the sensor information acquisition, signal-level processing, and high-level semantic learning, analysis, and understanding.

The Internet of Things, smart environments and autonomous vehicles, are driving worldwide research in critical systems to increase safety, privacy, and hazard prevention, based on low-power sensors and networks, with artificial intelligence embedded in integrated devices and powerful edge computing capabilities that can handle massive amounts of captured data with low delay tolerance and high accuracy.

Critical infrastructures and industrial processes are also increasingly relying on smart systems to ensure reliability, security, and resilience through accurate data acquisition, intelligent analysis, and machine learning algorithms. Among others, integration of low-power visual sensor devices with wireless networks and edge-computing algorithms opens new research horizons to advance the current state of the art of critical systems.

This Special Issue invites prospective authors to submit innovative research, new critical application scenarios and results, crossing from sensor data acquisition to system intelligence that is able to learn from data and provide advanced analysis and automatic semantic understanding. A wide variety of topics are relevant for this Special Issue, including, but not limited to the following:

• Smart video surveillance systems for critical use-cases in urban environments and industrial settings;
• Low-power sensors for environmental and production monitoring;
• Sensor networks with high reliability;
• Machine learning algorithms for critical-event detection and identification;
• Efficient sensor data compression for transmission and storage;
• Sensitive data processing in secure critical systems;
• Edge/cloud computing for critical time-constrained processing;
• Sensors for machine-to-machine critical systems (vehicle-to-vehicle, Robotic control, etc.);
• Autonomous vehicles sensors supporting critical tasks.

Prof. Pedro Assuncao
Dr. Luis Conde Bento
Dr. Hugo Costelha
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.