Special Issue "Artificial Intelligence and Machine Learning in Sensors Networks"
Deadline for manuscript submissions: 30 June 2018
Prof. Dr. Enrique Herrera-Viedma
Dept. Computer Science and Artificial Intelligence, E.T.S. de Ingenieria Informatica y de Telecomunicacion, University of Granada, 18071 Granada, Spain
Website | E-Mail
Interests: artificial intelligence; machine learning fuzzy sets; fuzzy decision making computing with words multiple criteria decision making consensus
At present, there is a growing number of solutions that provide Artificial Intelligence (AI) and Machine Learning (ML) based systems. These solutions facilitate the creation of new products and services in many different fields. Sensor networks (SNs) are undergoing great expansion and development and the combination of both AI and SNs are now realities that are going to change our lives. The integration of these two technologies benefits other areas such as Industry 4.0, Internet of Things, Demotic Systems, etc. Furthermore, sensor networks (SNs) are widely used to collect environmental parameters in homes, buildings, vehicles, etc., where they are used as a source of information that aids the decision-making process and, in particular it allows systems to learn and to monitor activity. New AI and ML real time or execution time algorithms are needed, as well as different strategies to embed these algorithms in sensors. New clustering and classification techniques, reinforcement learning methods, or data quality approaches are required, as well as distributed AI algorithms.
This Special Issue calls for innovative work that explores new frontiers and challenges in the field of applying AI algorithms to SNs. As mentioned previously, this work will include new machine learning models, distributed AI proposals, hybrid AI systems, etc., as well as case studies or reviews of the state-of-the-art.
The topics of interest include, but are not limited to:
- Artificial Intelligence models for Sensor Networks.
- Machine Learning models for Sensor Networks.
- Clustering and classification algorithms for SNs.
- Deep and reinforcement learning for SNs.
- Intelligence processing algorithms for SNs.
- Intelligence image processing algorithms for SNs.
- Big Data analytics for data processing from SNs.
- Fuzzy Systems proposals for SNs.
- Expert Systems for SNs.
- Hybrid Systems for SNs
- Intelligent real time algorithms for SNs.
- Intelligent execution time algorithms for SNs.
- Intelligent security proposals for WSNs.
- Blockchain in WSNs.
- Multi Agent Systems.
- Organization Based Multiagent Systems.
- Virtual Organizations.
- Applications of AI in SN domains: energy, IoT, Industry 4.0, etc.
Prof. Dr. Juan Manuel Corchado Rodríguez
Prof. Dr. Enrique Herrera
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 monthly 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.
- Machine Learning
- Artificial Intelligence