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Advanced Localization and Motion Tracking with Dense Wireless Networks
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Advanced Localization and Motion Tracking with Dense Wireless Networks

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

Deadline for manuscript submissions: closed (10 May 2024) | Viewed by 1724

Special Issue Editors

Dr. Sanaz Kianoush

E-Mail Website
Guest Editor
Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Consiglio Nazionale delle Ricerche (CNR), c/o, Politecnico di Milano, P.zza L. da Vinci 32, I-20133 Milano, Italy
Interests: device-free radio localization and activity recognition; signal processing and machine learning in wireless systems
Special Issues, Collections and Topics in MDPI journals
Dr. Stefano Savazzi

E-Mail Website
Guest Editor
Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Consiglio Nazionale delle Ricerche (CNR), P.zza L. da Vinci 32, I-20133 Milan, Italy
Interests: signal processing aspects of wireless communications systems; antenna array processing; channel estimation and tracking; MIMO-OFDM systems; cooperative communication; ad-hoc networking and wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Dr. Vittorio Rampa

E-Mail Website
Guest Editor
Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Consiglio Nazionale delle Ricerche (CNR), c/o, Politecnico di Milano, P.zza L. da Vinci 32, I-20133 Milano, Italy
Interests: software-defined radios; device-free radio localization and activity recognition; body models for device-free localization; signal processing and machine learning for communication systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Radio-based localization and motion tracking exploit the characteristics of the radio propagation of opportunity RF signals to find the position/posture of objects/people. Applications range from operator monitoring in smart factories to motion detection in assisted living and smart spaces settings. In smart environments, low-cost IoT sensors with limited computational and communication capabilities are typically distributed. Besides accuracy, the main challenges for employing object/people positioning and tracking systems in such environments are the design of ubiquitous, real-time, low-energy, and low-complexity algorithms. Joint computational and communication intelligence is the key to allow wireless sensor networks (WSN) facing the large-scale heterogeneous data distribution problem that arises from complexity vs. performance constraints imposed on conventional motion detection and localization systems. This Special Issue aims to put together original research and review articles on advanced algorithms and methods for object/people positioning and motion tracking based on emerging technologies in dense WSNs and their performance optimization.

Potential topics include but are not limited to:

  • Device-free localization and motion tracking in human–machine shared workspace.
  • RIS-aided localization in 6G and beyond networks.
  • Edge-based localization in smart environments.
  • Multisensory localization and motion tracking.
  • AI methods for Localization/motion tracking in WSNs.
  • Continuous localization/motion recognition for health monitoring.
  • Cooperative localization in a dynamic environment.
  • Advanced radio sensing, radio tomography and holography methods.

Dr. Sanaz Kianoush
Dr. Stefano Savazzi
Dr. Vittorio Rampa
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

  • passive/active localization
  • motion tracking
  • IoT networks
  • wireless sensor networks
  • artificial intelligence

Published Papers (2 papers)

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Research

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12 pages, 462 KiB  
Communication
Adaptive DCS-SOMP for Localization Parameter Estimation in 5G Networks
by Paulo Francisco da Conceição and Flávio Geraldo Coelho Rocha
Sensors 2023, 23(22), 9073; https://doi.org/10.3390/s23229073 - 9 Nov 2023
Viewed by 757
Abstract
In this work, we model a 5G downlink channel using millimeter-wave (mmWave) and massive Multiple-Input Multiple-Output (mMIMO) technologies, considering the following localization parameters: Time of Arrival (TOA), Two-Dimensional Angle of Departure (2D-AoD), and Two-Dimensional Angle of Arrival (2D-AoA), both encompassing azimuth and elevation. [...] Read more.
In this work, we model a 5G downlink channel using millimeter-wave (mmWave) and massive Multiple-Input Multiple-Output (mMIMO) technologies, considering the following localization parameters: Time of Arrival (TOA), Two-Dimensional Angle of Departure (2D-AoD), and Two-Dimensional Angle of Arrival (2D-AoA), both encompassing azimuth and elevation. Our research focuses on the precise estimation of these parameters within a three-dimensional (3D) environment, which is crucial in Industry 4.0 applications such as smart warehousing. In such scenarios, determining the device localization is paramount, as products must be handled with high precision. To achieve these precise estimations, we employ an adaptive approach built upon the Distributed Compressed Sensing—Subspace Orthogonal Matching Pursuit (DCS-SOMP) algorithm. We obtain better estimations using an adaptive approach that dynamically adapts the sensing matrix during each iteration, effectively constraining the search space. The results demonstrate that our approach outperforms the traditional method in terms of accuracy, speed to convergence, and memory use. Full article
(This article belongs to the Special Issue Advanced Localization and Motion Tracking with Dense Wireless Networks)
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Review

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28 pages, 1250 KiB  
Review
Recent Advances on Jamming and Spoofing Detection in GNSS
by Katarina Radoš, Marta Brkić and Dinko Begušić
Sensors 2024, 24(13), 4210; https://doi.org/10.3390/s24134210 - 28 Jun 2024
Viewed by 384
Abstract
Increased interest in the development and integration of navigation and positioning services into a wide range of receivers makes them susceptible to a variety of security attacks such as Global Navigation Satellite Systems (GNSS) jamming and spoofing attacks. The availability of low-cost devices [...] Read more.
Increased interest in the development and integration of navigation and positioning services into a wide range of receivers makes them susceptible to a variety of security attacks such as Global Navigation Satellite Systems (GNSS) jamming and spoofing attacks. The availability of low-cost devices including software-defined radios (SDRs) provides a wide accessibility of affordable platforms that can be used to perform these attacks. Early detection of jamming and spoofing interferences is essential for mitigation and avoidance of service degradation. For these reasons, the development of efficient detection methods has become an important research topic and a number of effective methods has been reported in the literature. This survey offers the reader a comprehensive and systematic review of methods for detection of GNSS jamming and spoofing interferences. The categorization and classification of selected methods according to specific parameters and features is provided with a focus on recent advances in the field. Although many different detection methods have been reported, significant research efforts toward developing new and more efficient methods remain ongoing. These efforts are driven by the rapid development and increased number of attacks that pose high-security risks. The presented review of GNSS jamming and spoofing detection methods may be used for the selection of the most appropriate solution for specific purposes and constraints and also to provide a reference for future research. Full article
(This article belongs to the Special Issue Advanced Localization and Motion Tracking with Dense Wireless Networks)
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