Data Driven Cyber-Physical System for Landslide Detection

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

    Research output: Contribution to journalArticle

    11 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 languageEnglish
    Pages (from-to)1-12
    Number of pages12
    JournalMobile Networks and Applications
    DOIs
    Publication statusAccepted/In press - 2018 Mar 14

    Fingerprint

    Landslides
    Sun
    Sensors
    Routers
    Disasters
    Computational complexity
    Energy utilization
    Cyber Physical System

    Keywords

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

    ASJC Scopus subject areas

    • Software
    • Information Systems
    • Hardware and Architecture
    • Computer Networks and Communications

    Cite this

    Data Driven Cyber-Physical System for Landslide Detection. / Liu, Zhi; Tsuda, Toshitaka; Watanabe, Hiroshi; Ryuo, Satoko; Iwasawa, Nagateru.

    In: Mobile Networks and Applications, 14.03.2018, p. 1-12.

    Research output: Contribution to journalArticle

    Liu, Zhi ; Tsuda, Toshitaka ; Watanabe, Hiroshi ; Ryuo, Satoko ; Iwasawa, Nagateru. / Data Driven Cyber-Physical System for Landslide Detection. In: Mobile Networks and Applications. 2018 ; pp. 1-12.
    @article{a1b6e9ccdd9c4060ab6c50137e226aea,
    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 ’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.",
    keywords = "Disaster, Energy consumption, Intra-correlation, Landslide, Wi-Sun, Wireless sensor network, WSN",
    author = "Zhi Liu and Toshitaka Tsuda and Hiroshi Watanabe and Satoko Ryuo and Nagateru Iwasawa",
    year = "2018",
    month = "3",
    day = "14",
    doi = "10.1007/s11036-018-1031-1",
    language = "English",
    pages = "1--12",
    journal = "Mobile Networks and Applications",
    issn = "1383-469X",
    publisher = "Springer Netherlands",

    }

    TY - JOUR

    T1 - Data Driven Cyber-Physical System for Landslide Detection

    AU - Liu, Zhi

    AU - Tsuda, Toshitaka

    AU - Watanabe, Hiroshi

    AU - Ryuo, Satoko

    AU - Iwasawa, Nagateru

    PY - 2018/3/14

    Y1 - 2018/3/14

    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.

    KW - Disaster

    KW - Energy consumption

    KW - Intra-correlation

    KW - Landslide

    KW - Wi-Sun

    KW - Wireless sensor network

    KW - WSN

    UR - http://www.scopus.com/inward/record.url?scp=85043683439&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85043683439&partnerID=8YFLogxK

    U2 - 10.1007/s11036-018-1031-1

    DO - 10.1007/s11036-018-1031-1

    M3 - Article

    SP - 1

    EP - 12

    JO - Mobile Networks and Applications

    JF - Mobile Networks and Applications

    SN - 1383-469X

    ER -