Data Driven Cyber-Physical System for Landslide Detection

Zhi Liu; Toshitaka Tsuda; Hiroshi Watanabe; Satoko Ryuo; Nagateru Iwasawa

doi:10.1007/s11036-018-1031-1

Data Driven Cyber-Physical System for Landslide Detection

Zhi Liu^*, Toshitaka Tsuda, Hiroshi Watanabe, Satoko Ryuo, Nagateru Iwasawa

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Contribution to journal › Article › peer-review

39 Citations (Scopus)

Abstract

Natural disaster is one of the most important research topics worldwide. In this paper, a data driven cyber-physical system is introduced to detect landslides. This system is composed of Wi-Sun acceleration sensors, which can detect the acceleration of the nearby environment in 3D domain, and the sensors are linked with the router (act as ’sink’ node) via Wi-Sun transmission (i.e. IEEE802.15.4g). The details of the detection system are explained and the landslide detection mechanism with low computational complexity is proposed. A traffic reduction method is proposed thereafter to help reduce the data needed for transmission by exploring the intra-correlations of the sensor data. This method can save the energy consumption without degrading the detection performance. Field test is conducted and the results show that the landslide can be detected and amount of data to be transmitted can be reduced, which verifies the system’s effectiveness.

Original language	English
Pages (from-to)	991-1002
Number of pages	12
Journal	Mobile Networks and Applications
Volume	24
Issue number	3
DOIs	https://doi.org/10.1007/s11036-018-1031-1
Publication status	Published - 2019 Jun 15

Keywords

Disaster
Energy consumption
Intra-correlation
Landslide
WSN
Wi-Sun
Wireless sensor network

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11036-018-1031-1

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title = "Data Driven Cyber-Physical System for Landslide Detection",

abstract = "Natural disaster is one of the most important research topics worldwide. In this paper, a data driven cyber-physical system is introduced to detect landslides. This system is composed of Wi-Sun acceleration sensors, which can detect the acceleration of the nearby environment in 3D domain, and the sensors are linked with the router (act as {\textquoteright}sink{\textquoteright} node) via Wi-Sun transmission (i.e. IEEE802.15.4g). The details of the detection system are explained and the landslide detection mechanism with low computational complexity is proposed. A traffic reduction method is proposed thereafter to help reduce the data needed for transmission by exploring the intra-correlations of the sensor data. This method can save the energy consumption without degrading the detection performance. Field test is conducted and the results show that the landslide can be detected and amount of data to be transmitted can be reduced, which verifies the system{\textquoteright}s effectiveness.",

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author = "Zhi Liu and Toshitaka Tsuda and Hiroshi Watanabe and Satoko Ryuo and Nagateru Iwasawa",

note = "Funding Information: The research results have been achieved by ”Research and Development on Fundamental and Utilization Technologies for Social Big Data,” the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan. Publisher Copyright: {\textcopyright} 2018, Springer Science+Business Media, LLC, part of Springer Nature.",

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AU - Watanabe, Hiroshi

AU - Ryuo, Satoko

AU - Iwasawa, Nagateru

N1 - Funding Information: The research results have been achieved by ”Research and Development on Fundamental and Utilization Technologies for Social Big Data,” the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan. Publisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

PY - 2019/6/15

Y1 - 2019/6/15

N2 - Natural disaster is one of the most important research topics worldwide. In this paper, a data driven cyber-physical system is introduced to detect landslides. This system is composed of Wi-Sun acceleration sensors, which can detect the acceleration of the nearby environment in 3D domain, and the sensors are linked with the router (act as ’sink’ node) via Wi-Sun transmission (i.e. IEEE802.15.4g). The details of the detection system are explained and the landslide detection mechanism with low computational complexity is proposed. A traffic reduction method is proposed thereafter to help reduce the data needed for transmission by exploring the intra-correlations of the sensor data. This method can save the energy consumption without degrading the detection performance. Field test is conducted and the results show that the landslide can be detected and amount of data to be transmitted can be reduced, which verifies the system’s effectiveness.

AB - Natural disaster is one of the most important research topics worldwide. In this paper, a data driven cyber-physical system is introduced to detect landslides. This system is composed of Wi-Sun acceleration sensors, which can detect the acceleration of the nearby environment in 3D domain, and the sensors are linked with the router (act as ’sink’ node) via Wi-Sun transmission (i.e. IEEE802.15.4g). The details of the detection system are explained and the landslide detection mechanism with low computational complexity is proposed. A traffic reduction method is proposed thereafter to help reduce the data needed for transmission by exploring the intra-correlations of the sensor data. This method can save the energy consumption without degrading the detection performance. Field test is conducted and the results show that the landslide can be detected and amount of data to be transmitted can be reduced, which verifies the system’s effectiveness.

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Data Driven Cyber-Physical System for Landslide Detection

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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