Improving the Implementation of Sensor Nodes for Illegal Logging Detection

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.