Data Driven Cyber-Physical System for Landslide Detection

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

Research output: Contribution to journalArticlepeer-review

31 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)991-1002
Number of pages12
JournalMobile Networks and Applications
Volume24
Issue number3
DOIs
Publication statusPublished - 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

Fingerprint Dive into the research topics of 'Data Driven Cyber-Physical System for Landslide Detection'. Together they form a unique fingerprint.

Cite this