Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting

Giva Andriana Mutiara, Nanna Suryana, Othman Mohd


This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.


illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.

Full Text:



T. et. al. Johnson, Melakukan Investigasi Kayu Ilegal Daftar Isi. Earthsight Ford Foundation.

G. Marais, “Understanding the forest product chain-of-custody certification standard,” no. February, 2012.

C. Buratti, A. Conti, D. Dardari, and R. Verdone, “An overview on wireless sensor networks technology and evolution,” Sensors, vol. 9, no. 9, pp. 6869–6896, 2009.

N. C. Bantayan, “Integrating Radio-Frequency Identification (RFID) and Geomatics Towards Precision Forestry Integrating Radio-Frequency Identification (RFID) and,” Wulfenia J., vol. 22, no. May 2015, pp. 241–252, 2015.

D. P. Dykstra, G. Kuru, R. Taylor, R. Nussbaum, W. B. Magrath, and J. Story, “Technologies for Wood Tracking,” Environ. Soc. Dev. East Asia Pacific Reg. Discuss. Pap., p. 78, 2002.

S. Aboussaid, H. Benbihi, and Y. S. Alj, “RFID-based tracking system preventing trees extinction and deforestation,” Proc. - Int. Conf. Intell. Syst. Model. Simulation, ISMS, pp. 610–614, 2013.

L. Czúni and P. Z. Varga, “Lightweight Acoustic Detection of Logging in Wireless Sensor Networks,” pp. 120–125, 2014.

S. Mohdiwale, “Abnormal Activity Detection in Forest Reserve using Cumulative Short Time Fourier Transform Features,” 2017 Int. Conf. Intell. Sustain. Syst., no. Iciss, pp. 685–689, 2017.

P. G. Kalhara, V. D. Jayasinghearachchd, A. H. A. T. Dias, V. C. Ratnayake, C. Jayawardena, and N. Kuruwitaarachchi, “TreeSpirit: Illegal logging detection and alerting system using audio identification over an IoT network,” 2017 11th Int. Conf. Software, Knowledge, Inf. Manag. Appl., pp. 1–7, 2017.

W. C. Tsai, Y. J. Shih, T. M. Tsai, and J. J. Liaw, “An audio character recognition system for environmental monitoring message transmission over narrow band cellular network,” Proc. 2017 Int. Conf. Mach. Learn. Cybern. ICMLC 2017, vol. 2, pp. 461–466, 2017.

P. Kocharoen, S. Nuanloy, and P. Nantivatana, “Designing Wireless Sensor Network for Detecting Chainsaw Noise in a Forested Watershed,” 30th Int. Tech. Conf. Circuits/Systems, Comput. Commun., 2015.

A. Dalvi and M. Dautapure, “‘Undetected Detective to Protect the Forest Trees Against Poaching Using WSN Technology,’” vol. 3, no. 6, pp. 47–52, 2018.

M. R. M. Kassim and A. N. Harun, “Applications of WSN in agricultural environment monitoring systems,” 2016 Int. Conf. Inf. Commun. Technol. Converg. ICTC 2016, pp. 344–349, 2016.

M. R. M. Kassim and A. N. Harun, “Using Wireless Sensor Network to determine pollination readiness of oil palm flower,” Proc. Int. Conf. Sens. Technol. ICST, vol. 2016–March, pp. 59–64, 2016.

J. Liaw, C. Peng, Y. Chen, and W. Tsai, “A Novel Vibration-Based Real-Time Monitoring,” Mob. Wirel. Technol., pp. 581–588, 2018.

S. Hevner, Alan Chatterjee, “Design Research in Information System: Theory and Practice,” in Integrated Series in Information Systems, Integrated., Springer, 2012, p. 350.



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development