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Applied Sciences
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SMART Development of Household Wireless Sensors
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SMART Development of Household Wireless Sensors

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 May 2023) | Viewed by 7168

Special Issue Editor

Prof. Dr. Wei Gong

E-Mail Website
Guest Editor
School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
Interests: wireless networks; distributed computing; Internet-of-Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since the popularity of smart devices in the home, numerous interesting applications have emerged, and as the cornerstone of smart home applications, household wireless sensors are necessary to establish a universal connectivity.

This Special Issue is dedicated to exploring smart developments using home wireless sensors, including novel applications for smart homes and optimizations for wireless sensing devices. We invite researchers to submit original papers and review articles related to smart development issues using household wireless sensors, with topics of interest including, but not limited to:

  • Household wireless sensors for developing smart home applications;
  • Household wireless sensors for environmental monitoring;
  • Energy-saving applications for household wireless sensors;
  • Real-time data processing for household wireless sensors;
  • Multi-device collaborative application systems for household wireless sensors;
  • Novel applications using household wireless sensors;
  • Machine learning methods applied to household wireless sensors;
  • Communication protocols and implementation of household wireless sensors;
  • Security issues of household wireless sensors;
  • Integrated implementation of practical cases.

Prof. Dr. Wei Gong
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.

Keywords

  • smart home applications
  • wireless sensor
  • wireless sensing
  • intelligent household system

Published Papers (4 papers)

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Research

17 pages, 922 KiB  
Article
Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement
by Wei Shi, Meichen Duan, Hui He, Liangliang Lin, Chen Yang, Chenhao Li and Jizhong Zhao
Appl. Sci. 2023, 13(3), 1320; https://doi.org/10.3390/app13031320 - 18 Jan 2023
Cited by 1 | Viewed by 984
Abstract
Action recognition is essential in security monitoring, home care, and behavior analysis. Traditional solutions usually leverage particular devices, such as smart watches, infrared/visible cameras, etc. These methods may narrow the application areas due to the risk of privacy leakage, high equipment cost, and [...] Read more.
Action recognition is essential in security monitoring, home care, and behavior analysis. Traditional solutions usually leverage particular devices, such as smart watches, infrared/visible cameras, etc. These methods may narrow the application areas due to the risk of privacy leakage, high equipment cost, and over/under-exposure. Using wireless signals for motion recognition can effectively avoid the above problems. However, the motion recognition technology based on Wi-Fi signals currently has some defects, such as low resolution caused by narrow signal bandwidth, poor environmental adaptability caused by the multi-path effect, etc., which make it hard for commercial applications. To solve the above problems, we first propose and implement a position adaptive motion recognition method based on Wi-Fi feature enhancement, which is composed of an enhanced Wi-Fi features module and an enhanced convolution Transformer network. Meanwhile, we improve the generalization ability in the signal processing stage to avoid building an extremely complex model and reduce the demand for system hardware. To verify the generalization of the method, we implement real-world experiments using 9300 network cards and the PicoScenes software platform for data acquisition and processing. By contrast with the baseline method using original channel state information(CSI) data, the average accuracy of our algorithm is improved by 14% in different positions and over 16% in different orientations. Meanwhile, our method has best performance with an accuracy of 90.33% compared with the existing models on public datasets WiAR and WiDAR. Full article
(This article belongs to the Special Issue SMART Development of Household Wireless Sensors)
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13 pages, 4494 KiB  
Article
Design of Tri-Band Patch Antenna with Enhanced Bandwidth and Diversity Pattern for Indoor Wireless Communication
by Min Gao and Xiaohu Zhao
Appl. Sci. 2022, 12(15), 7445; https://doi.org/10.3390/app12157445 - 25 Jul 2022
Cited by 5 | Viewed by 1339
Abstract
A novel tri-band patch antenna with enhanced bandwidth and a diverse radiation pattern is presented in this study. An off-center probe is introduced to excite a conventional circular patch antenna, and the multi-frequency resonance modes of TM01, TM02, and TM [...] Read more.
A novel tri-band patch antenna with enhanced bandwidth and a diverse radiation pattern is presented in this study. An off-center probe is introduced to excite a conventional circular patch antenna, and the multi-frequency resonance modes of TM01, TM02, and TM03 with different radiation properties are obtained. Four metal cambered strips are distributed around the circular patch to adjust the impedance matching of the circular patch antenna. In order to widen the impedance bandwidth, a parasitic patch placed above the circular patch antenna is employed in this work. Then, a double-layer patch antenna is manufactured and tested to verify the accuracy of the theoretical analysis and simulated result. The measured results, which are basically consistent with the simulated results, show that the designed antenna can operate in three bandwidths of 1.79–1.81 GHz, 3.74–4.0 GHz, and 4.93–5.44 GHz, with radiation patterns of directional, omnidirectional, and three-beam pointing. The radiation efficiency higher than 85.6% and the maximum gain greater than 9.42 dBi suggest that the investigated antenna is suitable for multi-service scenarios in wireless communication. Full article
(This article belongs to the Special Issue SMART Development of Household Wireless Sensors)
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21 pages, 1668 KiB  
Article
ECC: Passenger Counting in the Elevator Using Commodity WiFi
by Xiaoyu Ma, Wei Xi, Zuhao Chen, Han Hao and Jizhong Zhao
Appl. Sci. 2022, 12(14), 7321; https://doi.org/10.3390/app12147321 - 21 Jul 2022
Cited by 3 | Viewed by 1386
Abstract
Elevators have become a kind of indispensable facility for everyday life, which bring people both convenience and safety hazards. Specifically in the household environment, an elevator’s lifespan is expected to be more than 20 years. An appropriate and regularly maintained counterweight is conducive [...] Read more.
Elevators have become a kind of indispensable facility for everyday life, which bring people both convenience and safety hazards. Specifically in the household environment, an elevator’s lifespan is expected to be more than 20 years. An appropriate and regularly maintained counterweight is conducive to extending elevator life. This paper proposes a passenger counting approach in the elevator for regular counterweight adjustment based on commodity WiFi called ECC. Since the running time of the elevator between two adjacent floors is short, the major challenge of ECC is how to count passengers from the limited captured data. This paper first theoretically analyzes the relationship between the number of passengers and the variation of channel state information (CSI). Then ECC constructs a multi-dimensional feature by extracting the average of amplitude (AOA), time-varying spectrum (TVS), and percentage of non-zero elements (PEM) features from the limited data. Finally, the random forest (RF) classifier is used for passenger counting and the local optimization problem is solved by expanding the feature dataset through data segmentation. ECC is implemented by using off-the-shelf IEEE 802.11n devices, and its performance is evaluated via extensive experiments in typical real-world scenes. The estimated precision of ECC can reach more than 95%, and more than 97% of estimation errors are less than 2 persons, which demonstrates the superior effectiveness and generalizability of ECC. Full article
(This article belongs to the Special Issue SMART Development of Household Wireless Sensors)
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18 pages, 740 KiB  
Article
Research on IEEE 802.11 OFDM Packet Detection Algorithms for Household Wireless Sensor Communication
by Yimeng Huang, Longzhi Yuan and Wei Gong
Appl. Sci. 2022, 12(14), 7232; https://doi.org/10.3390/app12147232 - 18 Jul 2022
Cited by 1 | Viewed by 2794
Abstract
Millions of smart home devices equipped with wireless sensors have gradually entered people’s homes and improved the quality of life. Wireless communication with sensors is crucial for remote automatic control of smart devices. Packet detection is one of the key technologies in wireless [...] Read more.
Millions of smart home devices equipped with wireless sensors have gradually entered people’s homes and improved the quality of life. Wireless communication with sensors is crucial for remote automatic control of smart devices. Packet detection is one of the key technologies in wireless communication systems and faces the challenges of detection accuracy and power consumption. In households, WiFi devices are widely deployed. Therefore, we focus on IEEE 802.11 OFDM packet detection algorithms for household wireless sensor communication. We first introduce four packet detection algorithms and verify their feasibility by simulation experiments. Then, we identify two important factors that affect detection accuracy and provide suggestions for algorithm improvement. Further, we compare and discuss the performance of the four algorithms from three dimensions in detail. The results show that each algorithm has its own advantages, and the auto-correlation algorithm has the best overall performance. Finally, we point out the open challenges and future research directions in this field. Full article
(This article belongs to the Special Issue SMART Development of Household Wireless Sensors)
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