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Feature Papers in the 'Sensor Networks' Section 2025

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 342

Special Issue Editors


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Guest Editor
School of Information and Communication Engineering, University of Electronics Science and Technology of China, Chengdu 611731, China
Interests: multi-target tracking; sensor networks; resources management; multi-sensor information fusion
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Data Science, New Jersey Institute of Technology, Newark, NJ 07102, USA
Interests: big data; data-intensive computing; parallel and distributed computing; high-performance networking; large-scale scientific visualization; wireless sensor networks; cyber security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce that the “Sensor Networks” Section is now compiling a collection of papers submitted by the Section’s Editorial Board Members (EBMs) and outstanding scholars in this research field. We welcome contributions and recommendations from EBMs.

This section covers theoretical and experimental problems, particularly considering the rise of the Internet of things (IoT) applications that allow several devices to connect in a smart way. In general, this section aims to provide researchers with a platform to publish their scientific work that can influence the scientific community as well as the general public.

We would also like to take this opportunity to call on more excellent scholars to join the Sensor Networks Section so that we can work together to further develop this exciting field of research.

Potential topics include, but are not limited to, the following:

  • Smart sensor networks;
  • Power consumption/energy-harvesting sensor networks;
  • Energy autonomous and low-power systems for the IoT;
  • Machine learning for sensors;
  • Cross-layer optimization;
  • Wireless sensor networks;
  • Routing protocols in sensor networks;
  • Embedded networked sensors;
  • Software-defined networks;
  • Underwater sensor networks;
  • Distributed sensor networks;
  • Ad hoc networks;
  • Industrial sensor networks;
  • Sensor network security, privacy, and threat detection;
  • Data calibration and fault tolerance;
  • Sensor network data fusion and data aggregation;
  • Sensor node localization;
  • Medium access control (MAC) protocols for sensor networks;
  • Artificial intelligence in sensor networks;
  • Edge computing in wireless sensor networks;
  • AI/ML for integrated sensing and communication;
  • Applications of sensor networks in area monitoring, healthcare monitoring, habitat monitoring, environmental/Earth sensing, etc.;
  • Advanced and intelligent sensor applications.

Prof. Dr. Wei Yi
Prof. Dr. Chase Wu
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
  • wireless sensor networks
  • sensing and communication
  • IoT

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Published Papers (1 paper)

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Research

21 pages, 7788 KiB  
Article
High-Resolution Localization Using Distributed MIMO FMCW Radars
by Huijea Park, Seungsu Chung, Jaehyun Park and Yang Huang
Sensors 2025, 25(12), 3579; https://doi.org/10.3390/s25123579 - 6 Jun 2025
Viewed by 118
Abstract
Due to its fast processing time and robustness against harsh environmental conditions, the frequency modulated continuous waveform (FMCW) multiple-input multiple-output (MIMO) radar is widely used for target localization. For high-accuracy localization, the two-dimensional multiple signal classification (2D MUSIC) algorithm can be applied to [...] Read more.
Due to its fast processing time and robustness against harsh environmental conditions, the frequency modulated continuous waveform (FMCW) multiple-input multiple-output (MIMO) radar is widely used for target localization. For high-accuracy localization, the two-dimensional multiple signal classification (2D MUSIC) algorithm can be applied to signals received by a single FMCW MIMO radar, achieving high-resolution positioning performance. To further enhance estimation accuracy, received signals or MUSIC spectra from multiple FMCW MIMO radars are often collected at a data fusion center and processed coherently. However, this approach increases data communication overhead and implementation complexity. To address these challenges, we propose an efficient high-resolution target localization algorithm. In the proposed method, the target position estimates from multiple FMCW MIMO radars are collected and combined using a weighted averaging approach to determine the target’s position within a unified coordinate system at the data fusion center. We first analyze the achievable resolution in the unified coordinate system, considering the impact of local parameter estimation errors. Based on this analysis, weights are assigned according to the achievable resolution within the unified coordinate framework. Notably, due to the typically limited number of antennas in FMCW MIMO radars, the azimuth angle resolution tends to be relatively lower than the range resolution. As a result, the achievable resolution in the unified coordinate system depends on the placement of each FMCW MIMO radar. The performance of the proposed scheme is validated using both synthetic simulation data and experimentally measured data, demonstrating its effectiveness in real-world scenarios. Full article
(This article belongs to the Special Issue Feature Papers in the 'Sensor Networks' Section 2025)
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