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Signal and Information Processing in Networks: Second Edition

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 228

Special Issue Editors


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Guest Editor
College of Artificial Intelligence, Southwest University, Chongqing 400715, China
Interests: distributed signal processing; wireless sensor networks; adaptive filter; machine learning; information security
Special Issues, Collections and Topics in MDPI journals
College of Artificial Intelligence, Southwest University, Chongqing 400715, China
Interests: complex networks; stochastic process; machine learning; information processing; evolutionary game theory
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
School of Science, Xihua University, Chengdu 610039, China
Interests: hyperspectral imagery; remote sensing image; radiometric correction

Special Issue Information

Dear Colleagues,

In recent years, the principles of entropy have found applications far beyond their initial scope. For instance, in machine learning, these concepts are used to design algorithms that learn from data, where entropy serves as a measure of model uncertainty. Furthermore, the entropy in networks is ubiquitous in science and has become a focal point of our modern world. There is a fast-growing shortage of entropy when processing signals or information problems generated by digital networks, wireless sensor networks (WSNs), Internet of Things (IoT), Internet of Vehicles (IoV), brain networks (BNs), artificial neural networks (ANNs), social networks (SNs), etc. However, the growth of applications in entropy, such as the capacity to analyze information in various networks, is at risk of decreasing in the field of information theory. With modern technologies, such as distributed estimation, graph signal processing, graph neural networks, and deep learning, it would be helpful to analyze the entropy theorem in the applications. For example, network modeling along with structural and dynamical behavior analysis can also significantly contribute to the studies of signal and information processing.

We would like to invite you to contribute to this Special Issue of Entropy entitled "Signal and Information Processing in Networks". This Special Issue focuses on a broad, novel, and promising research direction to provide a powerful framework for both theoretical and applied research of signals and information in various networks. Topics of interest include, but are not limited to, the following:

  • Information entropy;
  • Network structure entropy;
  • Information processing with entropy;
  • Neural networks;
  • Machine learning.

Prof. Dr. Feng Chen
Prof. Dr. Liang-Jian Deng
Dr. Minyu Feng
Guest Editors

Dr. Hong-Xia Dou
Guest Editor Assistant

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. Entropy 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 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

  • information entropy
  • network structure
  • information processing with entropy
  • complex networks
  • neural networks
  • machine learning

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