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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Taiwan Environmental information Center. http://e-info.org.tw/node/205853. Accessed 28 June 2017
Guan, Z., Xu, Y., Gong, P., Cao, J.: The impact of international efforts to reduce illegal logging on the global trade in wood products. Int. Wood Prod. J. 9(1), 28–38 (2007)
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)
Dudley, R.-G.: A system dynamics examination of the willingness of villagers to engage in illegal logging. J. Sustain. Forest. 19, 31–54 (2004)
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)
Liaw, J.-J., Chou, C.-W., Dai, C.-Y.: The lifetime extension of wireless sensor networks using adaptive energy allocation by distance. Int. J. Distrib. Sensor Netw. (2013). https://doi.org/10.1155/2013/982573
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 2015
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 2011
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
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 2017
Milner, B., Shao, X.: Clean speech reconstruction from MFCC vectors and fundamental frequency using an integrated front-end. Speech Commun. 48(6), 697–715 (2006)
Rabiner, L.-R., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliff (1993)
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 2014
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 2013
Acknowledgment
This study was supported by the Ministry of Science and Technology (No. MOST 105-2221-E-324-008-MY2) of Taiwan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, JT., Lin, CB., Liaw, JJ., Chen, YY. (2019). Improving the Implementation of Sensor Nodes for Illegal Logging Detection. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 110. Springer, Cham. https://doi.org/10.1007/978-3-030-03748-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-03748-2_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03747-5
Online ISBN: 978-3-030-03748-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)