Sensors

Journal Browser

► Journal Browser

Advanced Wireless Positioning and Sensing Technologies

Share This Special Issue

Special Issue Editors

Special Issue Information

Dear Colleagues,

The evolution of mobile communication standards from 2G to 5G has been accompanied by the emergence of several new services and usages. The fifth-generation new radio (NR) presented in 2020 has completed its development cycle and has reached a level of maturity that allows it to be deployed. In fact, it is already necessary to prospect for new technologies that will enable the correction of shortcomings observed in the field of information technology to have precise, reliable, and fast localization.

It is worth emphasizing that localization, sensing, and communication must all coexist, sharing the same time-frequency-spatial resources in the envisioned future communication systems. There are different mechanisms to enable such sharing, including coexistence, cooperation, and co-design. In fact, sensing and location information can guide communication, e.g., for beamforming or for handovers, while communication can support localization and sensing by sharing map information between devices.

The proposed Special Issue encourages authors from academia and industry to submit new research results regarding technological innovations for the positioning sensing and navigation in sensor networks.

Dr. Iness Ahriz
Dr. Wafa Njima
Dr. Hirley Alves
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.

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.

Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.

Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.

External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.

e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

14 pages, 1859 KiB

Open AccessArticle

High-Accuracy and Real-Time Fingerprint-Based Continual Learning Localization System in Dynamic Environment

by Hongxiu Zhao, Wafa Njima and Xun Zhang

Sensors 2025, 25(5), 1289; https://doi.org/10.3390/s25051289 - 20 Feb 2025

Viewed by 407

Abstract

In dynamic environments, localization accuracy often deteriorates due to an outdated or invalid database. Traditional approaches typically use Transfer Learning (TL) to address this issue, but TL suffers from the problem of catastrophic forgetting. This paper proposes a fingerprint-based Continual Learning (CL) localization system designed to retain old data while enhancing the accuracy for new data. The system works by rehearsing parameters in the lower network layers and reducing the training rate in the upper layers. Simulations conducted with fused data show that the proposed approach improves accuracy by 16% for new data and 29% for old data compared to TL in smaller rooms. In larger rooms, it achieves a 14% improvement for new data and a 44% improvement for old data over TL. These results demonstrate that the proposed CL approach not only enhances localization accuracy but also effectively mitigates the issue of catastrophic forgetting. Full article

(This article belongs to the Special Issue Advanced Wireless Positioning and Sensing Technologies)

► Show Figures

Figure 1

23 pages, 4087 KiB

Open AccessArticle

SWiLoc: Fusing Smartphone Sensors and WiFi CSI for Accurate Indoor Localization

by Khairul Mottakin, Kiran Davuluri, Mark Allison and Zheng Song

Sensors 2024, 24(19), 6327; https://doi.org/10.3390/s24196327 - 30 Sep 2024

Cited by 2 | Viewed by 1507

Abstract

Dead reckoning is a promising yet often overlooked smartphone-based indoor localization technology that relies on phone-mounted sensors for counting steps and estimating walking directions, without the need for extensive sensor or landmark deployment. However, misalignment between the phone’s direction and the user’s actual movement direction can lead to unreliable direction estimates and inaccurate location tracking. To address this issue, this paper introduces SWiLoc (Smartphone and WiFi-based Localization), an enhanced direction correction system that integrates passive WiFi sensing with smartphone-based sensing to form Correction Zones. Our two-phase approach accurately measures the user’s walking directions when passing through a Correction Zone and further refines successive direction estimates outside the zones, enabling continuous and reliable tracking. In addition to direction correction, SWiLoc extends its capabilities by incorporating a localization technique that leverages corrected directions to achieve precise user localization. This extension significantly enhances the system’s applicability for high-accuracy localization tasks. Additionally, our innovative Fresnel zone-based approach, which utilizes unique hardware configurations and a fundamental geometric model, ensures accurate and robust direction estimation, even in scenarios with unreliable walking directions. We evaluate SWiLoc across two real-world environments, assessing its performance under varying conditions such as environmental changes, phone orientations, walking directions, and distances. Our comprehensive experiments demonstrate that SWiLoc achieves an average 75th percentile error of 8.89 degrees in walking direction estimation and an 80th percentile error of 1.12 m in location estimation. These figures represent reductions of 64% and 49%, respectively for direction and location estimation error, over existing state-of-the-art approaches. Full article

(This article belongs to the Special Issue Advanced Wireless Positioning and Sensing Technologies)

► Show Figures

Journal Menu

Journal Browser

Advanced Wireless Positioning and Sensing Technologies

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Published Papers (2 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI