Smart autonomous self powered wireless sensor networks based low-cost landslide detection system

Karthik, S.; Yokesh, K.; Jagadeesh, Y M; Sathiendran, R. K.

doi:10.1109/iccpct.2015.7159265

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Bencana ini dapat dipantau dengan cermat melalui pemasangan berbagai jenis sensor. WSN memiliki beberapa keunggulan, di antaranya adalah: (1) biaya yang terjangkau [7][8] [9][10], (2) respons yang cepat [11], dan (3) fleksibilitas yang baik. Salah satu protokol komunikasi yang dapat diimplementasikan dalam WSN adalah protokol LoRa.…”

Section: Tinjauan Literaturunclassified

LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area

Widodo,

Dian Palevi

2024

SISTEMASI

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tanah longsor yang tinggi, dipengaruhi oleh topografi yang bervariasi. Studi ini mengevaluasi potensi bencana tanah longsor dan upaya mitigasi di wilayah ini. Data dari Badan Pusat Statistik (BPS) mencatat jumlah kejadian tanah longsor, dan Pemerintah Jawa Timur telah membentuk Badan Penanggulangan Bencana Daerah (BPBD) untuk manajemen risiko. Tim peneliti dari Institut Teknologi Nasional Malang mengembangkan Landslide Monitor (LSdM), sebuah Wireless Sensor Network (WSN) menggunakan teknologi Long Range (LoRa). Fokus utama adalah pada Quality of Service (QoS) jaringan LoRa. Hasil pengujian menunjukkan kemampuan LSdM dalam kondisi Line of Sight (LoS) dan Non Line of Sight (NLoS), dengan analisis frekuensi LoRa menyoroti perbedaan dalam tingkat kehilangan paket. LSdM diharapkan dapat meningkatkan manajemen risiko bencana tanah longsor di Malang Raya.

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Section: Tinjauan Literaturunclassified

LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area

Widodo,

Dian Palevi

2024

SISTEMASI

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“…The authors in two modelsused soil moisture sensors, accelerometer sensors, and temperature sensors and one of the, used an inclinometer sensor with GSM module attached to it [11], [12]. Another model used accelerometer only for detecting landslide but the system is self-powered (solar-powered) [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

ThNanao*,

Laishram

2019

IJRTE

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Abstract:Natural disasters have mercilessly devastated our lives in so many different terms. The impact of Earthquake and landslides are very severe because of their unpredictability. To alleviate the problem early warning system plays an important role. In this paper, we proposed an integrated earthquake and landslide monitoring system overthewireless sensor network. The Wireless Sensor Network is programmed to acquire the data, which is monitored and controlled centrally or independently and can be distributed widely in a random or planned deployment. By detecting suspicious indications such as tremor or landslides through sensor nodes, the system provides information to the monitoring and warning station. The processing unit is composed of arduino and Sensors such as 4.5 Flex Sensor, Capacitive Soil Moisture Sensor and a3-Dimensional Accelerometer are used in the proposed system to monitor landmass displacement/movement, the moisture level of the soil and the vibrations for earthquakes respectively. An RF module, XBee S2C is used which provides wireless communication with a range of about a 1 km line of sight and 60 meters indoor. The real-time data can be accessed via the internet. It will be powered from a 12V 20W solar panel with rechargeable Li-Ion Battery and fitted with necessary protection and charging circuit boards. The proposed system can be used in earthquake and landslide prone area to avoid damages to life and property in the area of operation by providing crucial information and further warning for any disastrous development. The proposed system is implemented through experiments and proved to be effective.

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“…Karthik et al developed and implemented low-cost autonomous WSN for landslide detection with a Self-Energy Harvesting Powered Early Warning System (WSN-SEH). The WSN-SEH contains MEMS sensors, energy harvesting systems, low power embedded controls, an efficient power management system, and a supercapacitor as storage [5].…”

Section: Introductionmentioning

confidence: 99%

Low Cost Sensor Node Device for Monitoring Landslides

Awaludin

Dhewa

2018

Indonesian J. Electron. Instrum. Syst.

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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.

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Smart autonomous self powered wireless sensor networks based low-cost landslide detection system

Cited by 5 publications

References 6 publications

LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area

LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

Low Cost Sensor Node Device for Monitoring Landslides

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