The Effectiveness of a Wireless Sensor Network System for Landslide Monitoring

Jeong, Sangseom; Ko, JaeYoun; Kim, Junghwan

doi:10.1109/access.2019.2960570

Cited by 23 publications

(20 citation statements)

References 30 publications

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“…Due to the several factors that influence these phenomena (e.g., characteristics of soil, altitude, vegetation, etc. ), the data collected by the WSN should be fused with geotechnical and hydrological models [103] and further processed within GIS in order to perform accurate analyses [104].…”

Section: Wsn For Land Monitoringmentioning

confidence: 99%

Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

Fascista

2022

Sensors

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Fighting Earth’s degradation and safeguarding the environment are subjects of topical interest and sources of hot debate in today’s society. According to the United Nations, there is a compelling need to take immediate actions worldwide and to implement large-scale monitoring policies aimed at counteracting the unprecedented levels of air, land, and water pollution. This requires going beyond the legacy technologies currently employed by government authorities and adopting more advanced systems that guarantee a continuous and pervasive monitoring of the environment in all its different aspects. In this paper, we take the research on integrated and large-scale environmental monitoring a step further by providing a comprehensive review that covers transversally all the main applications of wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs), and crowdsensing monitoring technologies. By outlining the available solutions and current limitations, we identify in the cooperation among terrestrial (WSN/crowdsensing) and aerial (UAVs) sensing, coupled with the adoption of advanced signal processing techniques, the major pillars at the basis of future integrated (air, land, and water) and large-scale environmental monitoring systems. This review not only consolidates the progresses achieved in the field of environmental monitoring, but also sheds new lights on potential future research directions and synergies among different research areas.

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Section: Wsn For Land Monitoringmentioning

confidence: 99%

Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

Fascista

2022

Sensors

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“…The use of wireless sensor networks (WSNs) and mobile ad-hoc networks (MANETs) in various areas such as environmental monitoring, military, vehicular networks and animal tracking has been widely adopted [1]- [6]. Applications of such networks vary based on the targeted area.…”

Section: Introductionmentioning

confidence: 99%

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Chaudhry¹,

Phillips²

2021

IJACSA

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“…The Android interface is developed for wireless data acquisition and control, providing a flexible graphical user interface populated entirely from a remote instrument [40]. Studies are conducted on the application of a wireless sensor network for landslide monitoring [37]. The indication system for horizontal-plane settlement is developed for freeway health monitoring based on the digital technology of RS485 communication [41].…”

Section: Introductionmentioning

confidence: 99%

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Shen

Wang³

2020

IEEE Access

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In the traditional system of dike monitoring, the acquisition apparatus is usually adopted with lots of built-in multiple data acquisition units. Each sensor is connected to the acquisition unit by wire, leading to the intensive use of wires. As a result, it is easy to cause inter-wire interference and signal distortion, compromising the accuracy and efficiency of dike monitoring. We have described and demonstrated a novel mode of signal acquisition that involved the integrated use of digital communication and human-computer interaction, and developed a separable online system of dike monitoring. Specifically, a parallel mode was adopted between the acquisition apparatus and the acquisition units; a serial mode was adopted between the acquisition unit and sensors; and a human-computer interface was used to control the monitoring process. Our research findings have shown that the parallel-serial mode not only proves to have a higher level of precision and efficiency than the serial mode, but also a simpler structure than the parallel mode alone under the same conditions. The acquisition unit adopting the parallel-serial mode could be separated from the acquisition apparatus and set up at nearby monitoring sites. This mode helps avoid such problems as massive amount of wiring as well as severe attenuation and interference of sensor signals in the serial mode, and is thus suitable for the linear dike monitoring. The parallel-serial mode has been successfully applied to the dike monitoring of the Yangtze River, and can also be used for scattered, linear, regional, and wide-range monitoring of engineering projects.

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The Effectiveness of a Wireless Sensor Network System for Landslide Monitoring

Cited by 23 publications

References 30 publications

Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

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