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Toward Performance Optimization of Wireless Sensor Networks and Sensor Node Devices in Environmental Monitoring

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

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 6706

Special Issue Editors

Prof. Dr. Zhiyuan Zhu

E-Mail Website
Guest Editor
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Interests: micro/nano fabrication process; nano energy harvesting process
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhenyu Na

E-Mail Website
Guest Editor
School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
Interests: space-air-ground networks; UAV Communications; MEC; AI based communications
Special Issues, Collections and Topics in MDPI journals
Dr. Jian Su

E-Mail Website
Guest Editor
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, China
Interests: Internet of things; RFID; wireless sensor networks; sensor node; communication systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Within the background of the human information era, the rapid development of Internet of Things (IoT) technology has led to higher requirements for wireless communication technology in environmental monitoring—that is, it is necessary to realize high-speed and high-quality communication in a more complex environment network. As the most basic and important type of information acquisition, sensor technology has greatly developed in recent years. Wireless sensor networks (WSNs) with sensing, computing, and communication capabilities have broad prospects and high application value. However, problems such as sensor cost, sensor reliability, communication security, maintenance, and data processing still remain bottlenecks for the use of WSNs for environmental monitoring. With the advancement of microelectronic technology, intelligent sensors have been developed to detect, judge, and process complex environmental information, providing us with promising solutions.

This Special Issue aims to collect innovative developments in areas related to the use of WSNs and wireless communication technology for environmental monitoring, including but not limited to the following topics:

cost (of node, energy consumption, maintenance);

energy (self-powered sensors, stability, environmental protection);

communication (security, scalability);

data processing (distributed, big data, robustness);

WSNs design and validation;

Artificial intelligence in WSNs;

Industrial WSNs;

Body Sensor Networks;

Flexible sensors;

Novel sensor device for WSNs.

Prof. Dr. Zhiyuan Zhu
Dr. Zhenyu Na
Dr. Jian Su
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.

Keywords

  • Internet of Things (IoT)
  • wireless sensor networks (WSNs)
  • environmental monitoring
  • cost
  • energy
  • communication
  • data processing
  • artificial intelligence

Published Papers (3 papers)

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Research

13 pages, 4000 KiB  
Article
MSTA-SlowFast: A Student Behavior Detector for Classroom Environments
by Shiwen Zhang, Hong Liu, Cheng Sun, Xingjin Wu, Pei Wen, Fei Yu and Jin Zhang
Sensors 2023, 23(11), 5205; https://doi.org/10.3390/s23115205 - 30 May 2023
Viewed by 1533
Abstract
Detecting students’ classroom behaviors from instructional videos is important for instructional assessment, analyzing students’ learning status, and improving teaching quality. To achieve effective detection of student classroom behavior based on videos, this paper proposes a classroom behavior detection model based on the improved [...] Read more.
Detecting students’ classroom behaviors from instructional videos is important for instructional assessment, analyzing students’ learning status, and improving teaching quality. To achieve effective detection of student classroom behavior based on videos, this paper proposes a classroom behavior detection model based on the improved SlowFast. First, a Multi-scale Spatial-Temporal Attention (MSTA) module is added to SlowFast to improve the ability of the model to extract multi-scale spatial and temporal information in the feature maps. Second, Efficient Temporal Attention (ETA) is introduced to make the model more focused on the salient features of the behavior in the temporal domain. Finally, a spatio-temporal-oriented student classroom behavior dataset is constructed. The experimental results show that, compared with SlowFast, our proposed MSTA-SlowFast has a better detection performance with mean average precision (mAP) improvement of 5.63% on the self-made classroom behavior detection dataset. Full article
(This article belongs to the Special Issue Toward Performance Optimization of Wireless Sensor Networks and Sensor Node Devices in Environmental Monitoring)
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18 pages, 5443 KiB  
Article
A Novel System for the Measurement of an Evaporation Duct Using the Magnetic Coupling Principle for Power Feeding and Data Transmission
by Qiang Wang, Xingfei Li, Hongyu Li, Shaobo Yang, Shizhong Yang, Linlin Ma and Jingbo Zhao
Sensors 2022, 22(19), 7376; https://doi.org/10.3390/s22197376 - 28 Sep 2022
Viewed by 1718
Abstract
Since the evaporation duct height (EDH) only covers the antenna height of most shipborne microwave radars, mastering the EDH in advance has great significance in achieving long-range target detection. In this paper, a set of hydrological and meteorological sensors based on the gradient [...] Read more.
Since the evaporation duct height (EDH) only covers the antenna height of most shipborne microwave radars, mastering the EDH in advance has great significance in achieving long-range target detection. In this paper, a set of hydrological and meteorological sensors based on the gradient meteorological instrument (GMI) were built to monitor the evaporation duct of the South China Sea (SCS). However, the monitoring needed to be interrupted during the battery replacement of the sensor, which could result in the loss of some important data collection. On the basis of the inductively coupled power transfer (ICPT) technology, the resonance principle was used to compensate the inductive reactance on the closed steel ring (CSR), and the energy stored in the super capacitor was introduced for data collection and return. A novel measuring system for the detection of an evaporation duct was proposed. To avoid iterative calculation by setting the initial value of the current evaporation duct models in large-scale and multi time evaporation duct prediction and diagnosis, on the basis of the non-iterative air–sea flux (NAF) model, the EDH was obtained by introducing the K theoretical flux observation method into the atmospheric refractive index equation. Finally, preliminary experimental results are presented for the detection of evaporation duct to demonstrate the feasibility and effectiveness of the proposed system. The communication accuracy rate of the proposed system was 99.7%. The system transmission power reached 22.8 W. The research results of the NAF model adaptability showed that the mean value of the EDH was 8.7 m, which was lower than the mean EDH of the SCS. The EDH calculated by the NAF model in the unstable air–sea stratification state was slightly lower than that calculated by the NPS model. The diagnosis of the EDH by the NAF model was similar to that of the NPS model, but the calculation stability of the NAF model was better. Full article
(This article belongs to the Special Issue Toward Performance Optimization of Wireless Sensor Networks and Sensor Node Devices in Environmental Monitoring)
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19 pages, 5826 KiB  
Article
An Anti-Disturbance Resilience Enhanced Algorithm for UAV 3D Route Planning
by Zhining Xu, Long Zhang, Xiaoshan Ma, Yang Liu, Lin Yang and Feng Yang
Sensors 2022, 22(6), 2151; https://doi.org/10.3390/s22062151 - 10 Mar 2022
Cited by 5 | Viewed by 1591
Abstract
Considering that the actual operating environment of UAV is complex and easily disturbed by the space environment of urban buildings, the RoutE Planning Algorithm of Resilience Enhancement (REPARE) for UAV 3D route planning based on the A* algorithm and artificial potential fields algorithm [...] Read more.
Considering that the actual operating environment of UAV is complex and easily disturbed by the space environment of urban buildings, the RoutE Planning Algorithm of Resilience Enhancement (REPARE) for UAV 3D route planning based on the A* algorithm and artificial potential fields algorithm is carried out in a targeted manner. First of all, in order to ensure the safety of the UAV design, we focus on the capabilities of the UAV body and build a risk identification, assessment, and modeling method such that the mission control parameters of the UAV can be determined. Then, the three-dimensional route planning algorithm based on the artificial potential fields algorithm is used to ensure the safe operation of the UAV online and in real time. At the same time, by adjusting the discriminant coefficient of potential risks in real time to deal with time-varying random disturbance encountered by the UAV, the resilience of the UAV 3D flight route planning can be improved. Finally, the effectiveness of the algorithm is verified by the simulation. The simulation results show that the REPARE algorithm can effectively solve the traditional route planning algorithm’s insufficiency in anti-disturbance. It is safer than a traditional A* route planning algorithm, and its running time is shorter than that of the traditional artificial potential field route planning algorithm. It solves the problems of local optimization, enhances the UAV’s ability to tolerate general uncertain disturbances, and eventually improves resilience of the system. Full article
(This article belongs to the Special Issue Toward Performance Optimization of Wireless Sensor Networks and Sensor Node Devices in Environmental Monitoring)
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