Improving the Implementation of Sensor Nodes for Illegal Logging Detection
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.
KeywordsIllegal logging Vibration Saw Wireless sensing networks
This study was supported by the Ministry of Science and Technology (No. MOST 105-2221-E-324-008-MY2) of Taiwan.
- 1.Taiwan Environmental information Center. http://e-info.org.tw/node/205853. Accessed 28 June 2017
- 3.Xu, J.-H.: Review of China’s forest CoC certification system against its illegal logging and trade. B.Sc. Essay, Forest Resources Management, University of British Columbia (2014)Google Scholar
- 5.Wijaya, A.: Application of multi-stage classification to detect illegal logging with the use of multi-source data. Master thesis, International Institute for Geo-information Science and Earth Observation (2005)Google Scholar
- 7.Kaur, J., Grewal, R., Saini, K.-S.: A survey on recent congestion control schemes in wireless sensor network. In: IEEE International Advance Computing Conference, Banglore, India, pp. 387–392, 12–13 June 2015Google Scholar
- 8.Panpan, J., Jurecka, M., Puchyova, J.: WSN for forest monitoring to prevent illegal logging. In: 2012 Federated Conference on Computer Science and Information Systems, Wroclaw, Poland, 9–12 September 2011Google Scholar
- 9.Shamili, S., Manivannan, D.: Sensor node failure detection using multiway tree based round trip path in wireless sensor networks. Indian J. Sci. Technol. 8(12) (2015). https://doi.org/10.17485/ijst/2015/v8i12/64476
- 10.Chen, Y.-Y., Liaw, J.-J.: A novel real-time monitoring system for illegal logging events based on vibration and audio. In: The 8th International Conference on Awareness Science and Technology, Taichung, Taiwan, 8–10 November 2017Google Scholar
- 12.Rabiner, L.-R., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliff (1993)Google Scholar
- 13.Gante, A.-D., Aslan, M., Matrawy, A.: Smart wireless sensor network management based on software-defined. Networking. In: 27th Biennial Symposium on Communications, Kinston, Canada, pp. 71–75, 1–4 June 2014Google Scholar
- 14.Da Silva, F.-G., Galeazzo, E.: Accelerometer Based Intelligent System for Human Movement Recognition. In: 5th IEEE International Workshop Advances in Sensors and Interfaces, Bari, Italy, pp. 20–24, 13–14 June 2013Google Scholar