Machine Learning in Sensor Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (28 July 2023) | Viewed by 288
Special Issue Editors
Interests: information security; bio-signal data processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: information security; data mining; machine learning; ubiquitous computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Since sensors are mostly characterized by limited capabilities, sensor networks have inspired resurgence in research on machine learning (ML) methodologies. To solve networking and application problems in sensor networks, various machine learning algorithms are rigorously studied. The fundamental limits of learning algorithms should be addressed, and future machine learning research directions are also welcome.
How can we build a strong ML model to solve problems in sensor networks? How can we detect and prevent further problems in sensor networks? We look forward to receiving up-to-date research papers related to machine learning in sensor networks.
This Special Issue covers all topics related to current research issues in machine learning in sensor networks. Related topics include but are not limited to the following:
- Energy-aware communications;
- Optimal node deployment and localization;
- Resource allocation and task scheduling;
- Information processing in sensor networks;
- Target tracking;
- Event classification;
- Identification of target class.
Prof. Dr. Dongil Shin
Prof. Dr. Dongkyoo Shin
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- sensor networks
- wireless sensor networks
- deep learning
- supervised machine learning
- unsupervised machine learning
