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Special Issue "Radio Sensing and Sensor Networks"
Deadline for manuscript submissions: 31 March 2020.
Tel. +39 02 2399 3454
Interests: cooperative and cognitive radio networks; radio vision and device-free radio sensing; signal processing and machine learning for communication systems; context-aware services
Interests: device-free radio localization and activity recognition; signal processing and machine learning in wireless sytems.
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
Recently, the development of techniques to capture and process wireless stray electromagnetic (EM) radiation from different radio sources is gaining increasing attention. In particular, these techniques can be exploited to transform radio networks into virtual radio sensors to allow advance human-scale sensing, human behavior recognition, detection/localization, and crowd density estimation/mapping. Passive, or device-free, radio sensing is, for example, an emerging paradigm that transforms existing wireless networks by adding sensing modalities to improve the perception of users and the environment. In the context of real-time human-scale sensing, no single technology can currently solve the problem of continuous people monitoring in different situations and scenarios, while the combination, transformation, and hybridization of multiple sensing and networking technologies are key enablers to achieve accurate human sensing.
This Special Issue encourages authors from academia and industry to submit manuscripts on innovations on radio sensing, networks, and computing techniques for human scale sensing. The Special Issue topics include, but are not limited to
- Active (wearable-based) and passive (device-free) radio sensing systems;
- Location-based services, motion detection, tracking, and perception;
- Indoor navigation, mapping, and channel charting;
- EM body motion modelling for radio sensing;
- Mm-Wave and THz technologies for passive and active radio sensing;
- Free-space user interfaces and human–machine interactions;
- Applications of radio sensing in human–robot collaboration workplaces, smart living and Industry 4.0 scenarios;
- Beyond 5G technologies for radio sensing and sensor networks;
- Multi-spectral and multi-domain data-fusion techniques to improve the robustness of radio sensing systems
Dr. Stefano Savazzi
Dr. Sanaz Kianoush
Dr. Vittorio Rampa
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 papers will be 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 1800 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.
- radio sensing
- localization and perception
- sensor networks for device-free and wearable-based sensing
- transformative computing
- mm-wave and thz radios