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Improving the Implementation of Sensor Nodes for Illegal Logging Detection

  • Jen-Ting Chen
  • Chuan-Bi Lin
  • Jiun-Jian Liaw
  • Yu-Yan Chen
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 110)

Abstract

The characteristics of sound and vibration are used to detecting the illegal logging of woods for those proposed approaches. In this paper, an improved design of vibration and sound sensing nodes is proposed to make the nodes operated more effectively. We establish an actual sawmill experiment to simulate the situation of sawing woods. The sleep vibration sensing section is waked up by the vibration, and the data of sound and vibration is transmitted by wireless networks. In addition to the magnitude of the vibration, we use the simple subtraction of two data to obtain the differential signal strength (DSM) as a feature of the vibration. The experiments show that the improved deign has sufficient identification performance and can detect the logging behavior effectively.

Keywords

Illegal logging Vibration Saw Wireless sensing networks 

Notes

Acknowledgment

This study was supported by the Ministry of Science and Technology (No. MOST 105-2221-E-324-008-MY2) of Taiwan.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jen-Ting Chen
    • 1
  • Chuan-Bi Lin
    • 1
  • Jiun-Jian Liaw
    • 1
  • Yu-Yan Chen
    • 1
  1. 1.Department of Information and Communication EngineeringChaoyang University of TechnologyTaichungTaiwan

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