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Applied Sciences
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Computer Science in Wireless Communication
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Computer Science in Wireless Communication

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 2163

Special Issue Editor

Prof. Dr. Junzhao Du

E-Mail Website
Guest Editor
Software School and State Key Lab of ISN, Xidian University, Shaanxi 710071, China
Interests: mobile computing; edge computing; distributed computing; IoT technology

Special Issue Information

Dear Colleagues,

The aims of this Special Issue is to introduce the uses of computer science in wireless communications. In recent years, mankind has entered an era of information explosion, and the popularity of traffic-intensive applications of various communication terminals has led to unprecedented growth in information communication demand. Currently, wireless communication technology is developing towards higher frequency, capacity, faster data rate and bandwidth efficiency. The development of computer science in recent years is contributing to the vast improvements in the performance of wireless communication technologies.

This Special Issue welcomes all research papers or review papers on the application of computer science to wireless communication technologies.

Potential topics include, but are not limited to, the following:

  • Data privacy in wireless communications;
  • Cryptosystems in wireless communications;
  • Cloud/edge/fog computing in wireless communications;
  • Machine learning in wireless communications.

Prof. Dr. Junzhao Du
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. Applied Sciences 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 2400 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.

Published Papers (2 papers)

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Research

15 pages, 13788 KiB  
Article
Wi-Senser: Contactless Head Movement Detection during Sleep Utilizing WiFi Signals
by Yi Fang, Wei Liu and Sun Zhang
Appl. Sci. 2023, 13(13), 7572; https://doi.org/10.3390/app13137572 - 27 Jun 2023
Viewed by 872
Abstract
Detecting human head movement during sleep is important as it can help doctors to assess many physical or mental health problems, such as infantile eczema, calcium deficiency, insomnia, anxiety disorder, and even Parkinson’s disease, and provide useful clues for accurate diagnosis. To obtain [...] Read more.
Detecting human head movement during sleep is important as it can help doctors to assess many physical or mental health problems, such as infantile eczema, calcium deficiency, insomnia, anxiety disorder, and even Parkinson’s disease, and provide useful clues for accurate diagnosis. To obtain the information of head movement during sleep, current solutions either use a camera or require the user to wear intrusive sensors to collect the image or motion data. However, the vision-based schemes rely on light conditions and raise privacy concerns. Many people, including the elderly and infants, may be reluctant to wear wearable devices during sleep. In this paper, we propose Wi-Senser, a nonintrusive and contactless smart monitoring system for detecting head movement during sleep. Wi-Senser directly reuses the existing WiFi infrastructure and exploits the fine-grained channel state information (CSI) of WiFi signals to capture the minute human head movement during sleep without attaching any sensors to the human body. Specifically, we constructed a filtering channel including a Hampel filter, wavelet filter, and mean filter to remove outliers and noises. We propose a new metric of carrier sensitivity to select an optimal subcarrier for recording the change in targeted body movement from 30 candidate subcarriers. Finally, we designed a peak-finding algorithm to capture the real peak set recording the change in human head movement. We designed and implemented Wi-Senser with just one commercial off-the-shelf (COTS) router and one laptop equipped with an Intel 5300 network interface card (NIC). We evaluated the performance of Wi-Senser with 10 volunteers (6 adults and 4 children). Extensive experiments demonstrate that Wi-Senser can achieve 97.95% accuracy for monitoring head movement during sleep. Wi-Senser provides a new solution for achieving noninvasive, continuous, and accurate detection of minute human movement without any additional cost. Full article
(This article belongs to the Special Issue Computer Science in Wireless Communication)
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14 pages, 3313 KiB  
Article
Analysis of Information Transmission Characteristics Based on Adaptive Ground Electrode Current Field
by Jingang He, Hang Yuan, Zhong Su, Bin Zhao, Zhe Kuang and Pengfei Song
Appl. Sci. 2023, 13(7), 4297; https://doi.org/10.3390/app13074297 - 28 Mar 2023
Cited by 1 | Viewed by 886
Abstract
The information transmission mechanism of the ground electrode current field uses a very low-frequency electrical signal, which is applied to the two electrodes driven into the soil layer or the collapsed body of the tunnel to form a current field in the rock [...] Read more.
The information transmission mechanism of the ground electrode current field uses a very low-frequency electrical signal, which is applied to the two electrodes driven into the soil layer or the collapsed body of the tunnel to form a current field in the rock layer or soil layer. Signal detection is created via the strong penetration of wireless information transmission. This research focuses on various electromagnetic effects, such as polarization, magnetization, and the transmission of electromagnetic waves under the influence of different media, such as rock, sand, reinforced concrete, and air voids. The influence of these adaptive electromagnetic effects on the transmission of electromagnetic waves is mainly reflected in the reflection, refraction, and attenuation of electromagnetic wave signals. The inhomogeneity of the earth medium, the influence of topographic features, and multi-path transmission all cause signal distortion, fading, or changes in the direction of electromagnetic wave propagation. By studying the three physical quantities of magnetic permeability, permittivity, and conductivity, the electromagnetic characteristics of the earth medium are described to research the information transmission characteristics of the earth electrode current field. Full article
(This article belongs to the Special Issue Computer Science in Wireless Communication)
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