Email this article 
Hide
Show all
LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area
Abstract
Full Text:
PDFReferences
S. A. Ali et al., “GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms,” Geoscience Frontiers, vol. 12, no. 2, pp. 857–876, 2021, doi: 10.1016/j.gsf.2020.09.004.
“Badan Penanggulangan Bencana Daerah Pemerintah Kabupaten Malang Tahun 2016,” 2021.
R. Latiefatul Millah, R. J. Hakim, A. H. Fajrian, and L. Kamelia, “ID: 15 DISTORY.ID: Strategi Mitigasi Bencana Alam Terpadu dengan Early Warning System Berbasis IoT (Internet of Things) DISTORY.ID: Integrated Natural Disaster Mitigation Strategy with Early Warning System Design Based on IoT (Internet of Things),” no. November, pp. 48–64, 2022.
J. F. B. D. Fonseca et al., “‘Last Mile’ Challenges To in Situ Volcanic Data Transmission,” Natural Hazards and Earth System Sciences, vol. 13, no. 12, pp. 3419–3428, 2013, doi: 10.5194/nhess-13-3419-2013.
T. F. Fathani and D. Legono, “TXT-tool 2.062-1.2 A monitoring and early warning system for debris flows in rivers on volcanoes,” Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring, pp. 479–490, 2017, doi: 10.1007/978-3-319-57774-6_36.
T. Yang, W. Xiang, and L. Ye, “A distributed agents qos routing algorithm to transmit electrical power measuring information in last mile access wireless sensor Networks,” Int J Distrib Sens Netw, vol. 2013, 2013, doi: 10.1155/2013/525801.
R. Z. Cantabrana, A. G. Higuera, J. B. R. De Guzmán, and J. De Las Morenas De La Flor, “Low-cost wireless system for measuring energy efficiency in industry,” Proceedings of 2013 European Conference on Smart Objects, Systems and Technologies, Smart SysTech 2013, vol. 9, pp. 5–9, 2013.
M. Chehaitly, M. Tabaa, F. Monteiro, A. Dandache, and A. Hamie, “A low-cost design of transceiver based on DWPT for WSN,” Proceedings of the International Conference on Microelectronics, ICM, vol. 2016-March, no. 1, pp. 43–46, 2016, doi: 10.1109/ICM.2015.7437983.
S. Karthik, K. Yokesh, Y. M. Jagadeesh, and R. K. Sathiendran, “Smart autonomous self powered wireless sensor networks based low-cost landslide detection system,” IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2015, pp. 1–4, 2015, doi: 10.1109/ICCPCT.2015.7159265.
P. Vishnu, S. Radershan, C. S. Lewangamage, and M. T. R. Jayasinghe, “Synchronized Sensing and Network Scalability of Low-Cost Wireless Sensor Networks for Monitoring Civil Infrastructures,” MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings, pp. 337–342, 2020, doi: 10.1109/MERCon50084.2020.9185210.
S. L. Bansod and S. Honale, “Fast Response Enhanced Multi-queue packet Scheduler scheme for Wireless Sensor Network,” International Journal of Computer Trends and Technology, vol. 25, no. 3, pp. 127–133, 2015, doi: 10.14445/22312803/ijctt-v25p125.
W. San-Um, P. Lekbunyasin, M. Kodyoo, W. Wongsuwan, J. Makfak, and J. Kerdsri, “A long-range low-power wireless sensor network based on U-LoRa technology for tactical troops tracking systems,” Proceedings - ACDT 2017: 3rd Asian Conference on Defence Technology: Advance Research Collaboration on Defence Technology, pp. 32–35, 2017, doi: 10.1109/ACDT.2017.7886152.
A. J. Wixted, P. Kinnaird, H. Larijani, A. Tait, A. Ahmadinia, and N. Strachan, “Evaluation of LoRa and LoRaWAN for wireless sensor networks,” Proceedings of IEEE Sensors, vol. 1, pp. 6–8, 2017, doi: 10.1109/ICSENS.2016.7808712.
J. S. Gopinath, A. Elsden Christober, K. L. Ravindrananth, and K. Malathi, “LoRa WAN Communication using Wireless Sensor Network,” International Conference on Edge Computing and Applications, ICECAA 2022 - Proceedings, no. Icecaa, pp. 406–412, 2022, doi: 10.1109/ICECAA55415.2022.9936293.
D. I. Sacaleanu, I. P. Manciu, and L. A. Perisoara, “Performance analysis of LoRa technology in wireless sensor networks,” 2019 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 - Proceedings and Workshop, pp. 0–4, 2019, doi: 10.1109/NTMS.2019.8763774.
Espressif, “ESP32 Series Datasheet 2.4 GHz Wi-Fi + Bluetooth ® + Bluetooth LE SoC Including,” p. 70, 2023, [Online]. Available: www.espressif.com
AVR Studio®, “ATmega328P 8-bit AVR Microcontroller with 32K Bytes In-System Programmable Flash DATASHEET,” ATmel, pp. 1–294, 2016, [Online]. Available: https://ww1.microchip.com/downloads/en/DeviceDoc/Atmel-7810-Automotive-Microcontrollers-ATmega328P_Datasheet.pdf
Y. Liu et al., “Design and Deployment of an IoT-based Landslide Early Warning System,” Proceedings of the 2022 International Conference and Utility Exhibition on Energy, Environment and Climate Change, ICUE 2022, no. October, pp. 1–7, 2022, doi: 10.1109/ICUE55325.2022.10113491.
G. Imu, T. Grove, and I. M. U. Inertial, “Grove - IMU 9DOF(lcm20600+AK09918)”.
Seeed Development Limited, “Grove - IMU 9DOF v2.0,” 2016, [Online]. Available: https://seeeddoc.github.io/Grove-IMU_9DOF_v2.0/
DOI: https://doi.org/10.32520/stmsi.v13i2.3896
Article Metrics
Abstract view : 90 timesPDF - 41 times
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.