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Smart Systems and Wireless Sensor Networks for Localization

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

Deadline for manuscript submissions: 30 October 2025 | Viewed by 1345

Special Issue Editors


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Guest Editor
Department of Electrical and Information Engineering, Cassino, University of Cassino and Southern Lazio, Cassino, Italy
Interests: sensor networks and distributed measurement systems, characterization of components and electrical systems; non-invasive tests in industrial fields; characterization of sensor networks for IoT and Industry 4.0; measurements methods for telecommunication devices and systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Interests: RF measurements; EMC measurements; measurements for network and traffic analysis; measurements for cyber security; measurements for modern telecommunication systems; spectrum sensing for cognitive radios
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Medicine and Health Sciences "V. Tiberio", University of Molise, Molise, Italy
Interests: motor symptom detection in neurodegenerative disease; biomedical systems; sensor characterization; wearable devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to a new Special Issue on “Smart Systems and Wireless Sensor Networks for Localization”, hosted by the MDPI journal Sensors. Smart systems and wireless sensor networks are widely used in various applications: smart cities, self-driving cars, industrial 4.0 environments, telemedicine, personal safety, etc. In all these applications, it becomes essential to know the position of these smart systems as accurately as possible to optimize the operating of systems and algorithms fed by such data, as well as to improve the performance of data analysis and data fusion techniques. In this context, the development of localization and positioning measurement techniques (for both indoor and/or outdoor applications) has a primary role, and a wide variety of commercial solutions are available. Nevertheless, the capability to achieve highly accurate performance, minimal energy budget and low overall architecture costs remains a challenge, and solutions are still on the way. Nowadays, many technologies are key enablers to obtain position estimation, but their correct employment and integration with purpose-related devices and communication mechanisms can follow a further optimization process, especially considering measurement-related issues and data processing techniques. In this framework, this Special Issue aims to gather efforts from scholars to obtain integrated solutions, focusing the attention on the localization task, making use of classical low-cost technologies, such as Bluetooth, Zigbee, and Wi-Fi to cite a few, but also considering the latest promising communication mechanisms, such as LoRA, LTE, or 5G cellular networks. Particular attention should be paid to the capability of the proposed solution to obtain accuracy levels equal to or better than state-of-the-art localization techniques by keeping a low computational burden and energy consumption values, and to achieve two goals: i) the development of intelligent solutions able to reduce hardware and software resources demanding; ii) keeping the mechanisms in a non-invasive condition with respect to the Earth climate change phenomenon by enabling green technologies and solutions.

All original contributions on the described topics are welcome, and the Guest Editors would be pleased to consider them and manage suitable consequent peer-review processes.

Prof. Dr. Luigi Ferrigno
Prof. Dr. Domenico Capriglione
Dr. Chiara Carissimo
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

  • localization
  • measurement technologies and techniques
  • ranging techniques
  • positioning
  • real-time operating
  • internet of things (IoT)
  • smart sensors
  • artificial intelligence
  • data fusion
  • energy harvesting in localization

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Published Papers (1 paper)

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Research

21 pages, 534 KiB  
Article
Detection of Access Point Spoofing in the Wi-Fi Fingerprinting Based Positioning
by Juraj Machaj, Clément Safon, Slavomír Matúška and Peter Brída
Sensors 2024, 24(23), 7624; https://doi.org/10.3390/s24237624 - 28 Nov 2024
Viewed by 948
Abstract
Indoor positioning based on Wi-Fi signals has gained a lot of attention lately. There are many advantages related to the use of Wi-Fi signals for positioning, including the availability of Wi-Fi access points in indoor environments and the integration of Wi-Fi transceivers into [...] Read more.
Indoor positioning based on Wi-Fi signals has gained a lot of attention lately. There are many advantages related to the use of Wi-Fi signals for positioning, including the availability of Wi-Fi access points in indoor environments and the integration of Wi-Fi transceivers into consumer devices. However, since Wi-Fi uses an unlicensed spectrum, anyone can create their own access points. Therefore, it is possible to affect the function of the localization system by spoofing signals from access points and thus alter positioning accuracy. Previously published works focused mainly on the evaluation of spoofing on localization systems and the detection of anomalies when updating the radio map. Spoofing mitigation solutions were proposed; however, their application to systems that use off-the-shelf items is not straightforward. In this paper filtering algorithms are proposed to minimize the impact of access point spoofing. The filtering was applied with a combination of the widely used K-Nearest Neighbours (KNN) localization algorithm and their performance is evaluated using the UJIIndoorLoc dataset. During the evaluation, the spoofing of Access Points was performed in two different scenarios and the number of spoofed access points ranged from 1 to 10. Based on the achieved results proposed SFKNN provided good detection of the spoofing and helped to reduce the mean localization error by 2–5 m, especially when the number of spoofed access points was higher. Full article
(This article belongs to the Special Issue Smart Systems and Wireless Sensor Networks for Localization)
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