Data Driven Cyber-Physical System for Landslide Detection

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

    Research output: Contribution to journalArticle

    21 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

    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