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Advanced Technologies for Wireless Communication and Sensing Applications

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

Deadline for manuscript submissions: closed (20 March 2023) | Viewed by 2827

Special Issue Editor


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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,

recently, a new paradigm emerged from the confluence of networking, computing devices, sensor units, and artificial intelligence (AI) systems. Transformative computing leverages the cross-fertilization between computers, sensors, communication, and AI systems to propose a radically new vision to tackle the interactions between humans, machines and environment with energy-efficient and environmental-aware constraints. This Special Issue encourages authors from academia and industry to submit manuscripts on novel technologies for wireless communication and sensing scenarios. The Special Issue topics include but are not limited to:

  • Cloud-edge technologies for distributed sensor applications;
  • mm-Wave, sub-THz and THz radio technologies for advanced wireless communication and sensor networks;
  • Applications of wireless communication and sensor processing in smart spaces, smart living and Industry 4.0 scenarios;
  • Radio-access technologies for low-latency and high-reliability wireless sensor networks for industrial applications;
  • Beyond 5G (B5G) technologies for radio communication and sensing networks;
  • Multi-spectral and multi-domain processing techniques for robust wireless sensor systems;
  • Green communication and computing for Beyond 5G (B5G) networks;
  • Novel sensor technologies for energy-aware distributed wireless devices;
  • Machine and deep learning technologies for wireless communication and sensing applications.

Dr. Vittorio Rampa
Guest Editor

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

  • Transformative computing
  • Cognitive radio sensor networks
  • Cloud-edge architectures and technologies
  • Distributed and cooperative wireless sensor networks
  • mm-wave, sub-THz and THz radios
  • Innovative sensor technologies
  • Green communication and computing for wireless applications
  • Artificial intelligence for wireless communication and sensing

Published Papers (2 papers)

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Research

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11 pages, 1932 KiB  
Communication
D2D Social Selection Relay Algorithm Combined with Auction Principle
by Hairui Wang, Yijun Wang, Luping Tang and Yongqiang Xia
Sensors 2022, 22(23), 9265; https://doi.org/10.3390/s22239265 - 28 Nov 2022
Cited by 1 | Viewed by 917
Abstract
In a D2D (device-to-device) communication system, this paper proposes a relay selection strategy based on social perception. Firstly, the social threshold is introduced into the D2D relay network to screen and filter the potential relay users, thus effectively reducing the detection cost. Then, [...] Read more.
In a D2D (device-to-device) communication system, this paper proposes a relay selection strategy based on social perception. Firstly, the social threshold is introduced into the D2D relay network to screen and filter the potential relay users, thus effectively reducing the detection cost. Then, an auction algorithm is used to motivate the relay users to increase their transmission power. The simulation results show that the algorithm not only improves the throughput but also reduces the probability of a system outage. Full article
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Other

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23 pages, 10383 KiB  
Essay
Surrogate-Model-Based Interval Analysis of Spherical Conformal Array Antenna with Power Pattern Tolerance
by Guangda Ding, Peng Li, Paolo Rocca, Jiantao Chang and Wanye Xu
Sensors 2022, 22(24), 9828; https://doi.org/10.3390/s22249828 - 14 Dec 2022
Cited by 2 | Viewed by 1181
Abstract
A method based on an interval arithmetic is proposed to analyze uncertain factors such as the curvature radii, excitation amplitude, and excitation phase of a spherical conformal array antenna. An interval description of element factors under different curvature radii of spherical substrates is [...] Read more.
A method based on an interval arithmetic is proposed to analyze uncertain factors such as the curvature radii, excitation amplitude, and excitation phase of a spherical conformal array antenna. An interval description of element factors under different curvature radii of spherical substrates is established using the surrogate model based on the data obtained through a full-wave analysis method. The interval formula of the spherical curvature radius and array element position error is derived and the effects of the spherical radius tolerance, excitation amplitude tolerance, and excitation phase tolerance on the antenna power pattern are studied. To evaluate the effectiveness and reliability of the proposed method, a set of representative numerical results are reported and discussed and a comparison with the Monte Carlo methods and full-wave simulation is described. This method can be widely used during the antenna design and before the antenna prototyping/manufacturing to predict the effects, on the radiation performance, of possible errors/tolerances in the antenna structure to guarantee the antenna working ‘in operation’. Full article
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