Fault Diagnosis in Sensor Network-Based Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 400
Special Issue Editors
Interests: fault diagnosis; safety analysis; data-driven models; cyber-physical system safety; risk assessment; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning applications in process safety and security; AI safety; human–AI interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth in sensor networks has significantly impacted various industries, including healthcare, transportation, agriculture, chemical plants, and manufacturing. These systems rely heavily on the accuracy and reliability of sensor data to make informed decisions and optimize processes. However, the presence of faults and anomalies in a sensor network can compromise the overall performance of a system and lead to undesirable consequences. As such, the ability to diagnose and handle faults effectively becomes crucial for the reliable operation of such systems.
This Special Issue, titled "Fault Diagnosis in Sensor Network-Based Systems", aims to bring together cutting-edge research, methodologies, and applications related to fault diagnosis, detection, and isolation in sensor networks. We invite high-quality, original research articles that address the challenges, limitations, and advancements in this crucial area of study.
Topics of interest include, but are not limited to, the following:
- Advanced fault diagnosis techniques for sensor networks;
- Fault-tolerant sensor network design and optimization;
- Anomaly detection and isolation in industrial systems;
- Cybersecurity and protection of sensor networks from malicious attacks.
Through this Special Issue, we aim to foster interdisciplinary collaboration and highlight the latest developments in fault diagnosis for sensor network-based systems. The insights gained will contribute to improvements in the reliability of sensor networks, ultimately benefiting a wide range of applications and industries.
This Special Issue aims to collect both original reviews and technical research articles that take theoretical or application-based approaches. It will showcase works from a variety of engineering disciplines, including machine learning-model-based works using sensor data.
Dr. Md Tanjin Amin
Dr. Rajeevan Arunthavanathan
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
- abnormal situation management
- fault diagnosis
- condition monitoring
- artificial intelligence
- industrial Internet of Things
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
