sensors-logo

Journal Browser

Journal Browser

Distributed Observation and Control of Multi-Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 30 October 2024 | Viewed by 1276

Special Issue Editors


E-Mail Website
Guest Editor
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430000, China
Interests: swarm intelligence; multiple unmanned vehicle system formation cluster; multi-agent system cooperative control; complex network; nonlinear control

E-Mail Website
Guest Editor
College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Interests: consensus; multi-agent system cooperative control; sensor networks

E-Mail Website
Guest Editor
School of Science, Hunan University of Technology, Zhuzhou 412008, China
Interests: Multi-agent system cooperative control; nonlinear control

Special Issue Information

Dear Colleagues,

Over the past decades, the sensor networks have attracted scholars from interdisciplinary research fields. This is due to the sensor networks make it better to understand the underlying theory of many nature phenomena. Meanwhile, it also provides a reasonable theory for many engineering applications. Most of the existing researches on observation and control are based on the full dimensional output information and single sensing equipment. However, with the diversification and complexity of observation targets and the increasing demand for observation, single sensing equipment cannot implement the observation of mobile targets effectively. Taking the fact that it is difficult or even impossible to carry out the observation of a large-scale system or region by using a single sensor, which can only acquire a part of the output information of this kind of target systems, the distributed observer and control of a multi-sensor network is required.

The aim of this Special Issue is to collect original research articles and review articles highlighting developing theories of distributed observer and control of a multi-sensor network. Submissions should be focused on the analysis on the coordinated behaviors, the design of distributed algorithms, and the complexity of the research on multi-sensor networks. We also hope that this Special Issue provides a platform to showcase some real-world applications.

Potential topics include but are not limited to the following:

  1. Coordination control of multi-sensor networks
  2. Distributed state estimation of target systems
  3. Observer design and algorithm constructions of complex dynamical networks
  4. Distributed optimization for multi-sensor networks
  5. Game theory in multi-sensor networks
  6. Machine/deep learning in multi-sensor networks
  7. Multi-sensor networks and their real applications

Prof. Dr. Housheng Su
Dr. Xiaoling Wang
Dr. Chengjie Xu
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

  • multi-sensor networks
  • distributed state estimation
  • distributed control
  • consensus
  • flocking
  • distributed optimization
  • learning
  • game

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 3693 KiB  
Article
Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks
by Jinxin Zhang and Meng Wu
Sensors 2023, 23(20), 8497; https://doi.org/10.3390/s23208497 - 16 Oct 2023
Viewed by 738
Abstract
The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. [...] Read more.
The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-quality keys cannot be underestimated. Random numbers play a fundamental role in the key system, guaranteeing that generated keys possess randomness and unpredictability. To address the issue of random number requirements in multi-sensor network security, this paper introduces a new design approach based on the fusion of chaotic circuits and environmental awareness for the entropy pool. By analyzing potential random source events in the sensor network, a high-quality entropy pool construction is devised. This construction utilizes chaotic circuits and sensor device awareness technology to extract genuinely random events from nature, forming a heterogeneous fusion of a high-quality entropy pool scheme. Comparatively, this proposed scheme outperforms traditional random entropy pool design methods, as it can meet the quantity demands of random entropy sources and significantly enhance the quality of entropy sources, ensuring a robust security foundation for multi-sensor networks. Full article
(This article belongs to the Special Issue Distributed Observation and Control of Multi-Sensor Networks)
Show Figures

Figure 1

Back to TopTop