Low Cost Sensor Node Device for Monitoring Landslides
Lukman Awaludin(1*), Oktaf Agni Dhewa(2)
(1) Electronics and Instrumentation Laboratory, Universitas Gadjah Mada
(2) Electronics and Instrumentation Laboratory, Universitas Gadjah Mada
(*) Corresponding Author
Abstract
Landslides are one of the natural disasters that often occur in Indonesia. Therefore, this disaster cannot be eliminated, but it can minimize the disadvantage caused by an early warning mechanism. Early warning systems rely on a sensor node used to read soil conditions with specific parameters. Those parameters that are read lead to the detection of mass movements. With the tightness of the monitoring process, of course, a reliable sensor node is needed. However, there are challenges in how to minimize losses that occur due to damage to sensor nodes when landslides occur. Sensor nodes are made using IMU sensors to monitor mass movements and its use two processors, namely microcontroller and mini SBC, which are inexpensive to manufacture and do not require large space in the installation.
Keywords
Full Text:
PDFReferences
[1] I. Iswanto, N. M. Raharja, and A. Subardono, “Sistem Peringatan Dini Tanah Longsor Berbasis ATMega8535,” Seminar Nasional Informatika (SEMNASIF), vol. 1, no. 2, May. 2009 [Online]. Available: http://jurnal.upnyk.ac.id/index.php/semnasif/article/view/822. [Accessed: 15-Okt-2018]
[2] A. Giorgetti et al., “A Robust Wireless Sensor Network for Landslide Risk Analysis: System Design, Deployment, and Field Testing,” IEEE Sensors Journal, vol. 16, no. 16, pp. 6374–6386, Aug. 2016 [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7488208. [Accessed: 14-Okt-2018]
[3] C. Fosalau, C. Zet, and D. Petrisor, “Implementation of a landslide monitoring system as a wireless sensor network,” in 2016 IEEE 7th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 2016, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/ielx7/7763653/7777798/07777813.pdf?tp=&arnumber=7777813&isnumber=7777798. [Accessed: 14-Okt-2018]
[4] S. R. Suryawanshi and U. L. Deshpande, "Review of risk management for landslide forecasting, monitoring, and prediction using wireless sensors network," in 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/ielx7/8267166/8275826/08276113.pdf?tp=&arnumber=8276113&isnumber=8275826. [Accessed: 14-Okt-2018]
[5] S. Karthik, K. Yokesh, Y. M. Jagadeesh, and R. K. Sathiendran, “Smart autonomous self powered wireless sensor networks based low-cost landslide detection system,” in 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015], 2015, pp. 1–4 [Online]. Available: https://ieeexplore.ieee.org/ielx7/7147630/7159156/07159265.pdf?tp=&arnumber=7159265&isnumber=7159156. [Accessed: 14-Okt-2018]
[6] A. Sofwan, Sumardi, M. Ridho, A. Goni, and Najib, “Wireless sensor network design for landslide warning system in IoT architecture,” in 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2017, pp. 280–283 [Online]. Available: https://ieeexplore.ieee.org/ielx7/8240802/8257652/08257718.pdf?tp=&arnumber=8257718&isnumber=8257652&tag=1. [Accessed: 14-Okt-2018]
[7] M. S. Sumathi, G. S. Anitha, and N. H. Sridhar, “Efficient data handling of wireless sensor network for real time landslide monitoring system using fuzzy technique,” in 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), 2017, pp. 1–4 [Online]. Available: https://ieeexplore.ieee.org/ielx7/8063643/8074159/08074343.pdf?tp=&arnumber=8074343&isnumber=8074159. [Accessed: 14-Okt-2018]
[8] H. Oh and C. T. Ngo, “A Slotted Sense Multiple Access Protocol for Timely and Reliable Data Transmission in Dynamic Wireless Sensor Networks,” IEEE Sensors Journal, vol. 18, no. 5, pp. 2184–2194, Mar. 2018 [Online]. Available: https://ieeexplore.ieee.org/ielx7/7361/8277082/08263110.pdf?tp=&arnumber=8263110&isnumber=8277082. [Accessed: 14-Okt-2018]
[9] H. Chen, F. Wang, and M. Zhang, “An improved inter-cluster multi-hop LEACH protocol oriented reliable transmission in WSNs,” in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2017, pp. 193–197 [Online]. Available: https://ieeexplore.ieee.org/ielx7/8318023/8322494/08322539.pdf?tp=&arnumber=8322539&isnumber=8322494. [Accessed: 14-Okt-2018]
[10] Anonim, “Frekuensi Bencana Longsor Dari Tahun ke Tahun Terus Meningkat, dan Mencemaskan.”, 16-Dec-2014 [Online]. Available: /artikel/frekuensi-bencana-longsor-dari-tahun-ke-tahun-terus-meningkat-dan-mencemaskan. [Accessed: 14-Oct-2018]
[11] T. F. Fathani, D. Karnawati, and W. Wilopo, “An Adaptive and Sustained Landslide Monitoring and Early Warning System,” in Landslide Science for a Safer Geoenvironment, 2014, pp. 563–567 [Online]. Available: http://link.springer.com/10.1007/978-3-319-05050-8_87. [Accessed: 14-Okt-2018]
[12] M. Chaw, M. Thein, and T. Thein, “A Framework for Secure and Survivable Wireless Sensor Networks.” The Annals of “Dunarea de Jos” University of Galati Fascicle I – 2009. Economics and Applied Informatics. Years XV, 2009, pp. 243–252 [Online]. Available: http://www.ann.ugal.ro/eco/Doc2009/MiChawMonThei_ThandarThein.pdf. [Accessed: 14-Okt-2018]
[13] T. Islam, M. S. Islam, M. Shajid-Ul-Mahmud, and M. Hossam-E-Haider, “Comparison of Complementary and Kalman Filter Based Data Fusion for Attitude Heading Reference System” presented at the Proceedings of The 1st International Conference On Mechanical Engineering and Applied Science (ICMEAS 2017), Dhaka, Bangladesh, 2017, p. 020002 [Online]. Available: https://aip.scitation.org/doi/pdf/10.1063/1.5018520. [Accessed: 14-Okt-2018]
[14] V. N. Deekshit, M. V. Ramesh, P. K. Indukala, and G. J. Nair, “Smart geophone sensor network for effective detection of landslide induced geophone signals,” in 2016 International Conference on Communication and Signal Processing (ICCSP), 2016, pp. 1565–1569 [Online]. Available: https://ieeexplore.ieee.org/ielx7/7736795/7754082/07754422.pdf?tp=&arnumber=7754422&isnumber=7754082&tag=1. [Accessed: 14-Okt-2018]
DOI: https://doi.org/10.22146/ijeis.39682
Article Metrics
Abstract views : 3943 | views : 3460Refbacks
- There are currently no refbacks.
Copyright (c) 2018 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1