Wireless communication technology's selection for landslide monitoring in rural area

Mustafa, Intan Shafinaz; Din, Norashidah Md; Ismail, Amiruddin; Redzuwan, Redia Mohd; Omar, Rohayu Che; Khalid, Nor Hazwani Nor

doi:10.1109/scored.2013.7002634

Cited by 2 publications

(1 citation statement)

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“…The methods in one model used sensors for collecting data like vibrations, moving speed, and GPS trajectories to infer the slope movement [7]. The inclinometer, soil moisture sensor, piezometer, and rain gaugeare employed in the proposed model and the work in used geophone for incoming vibration, accelerometer, and microphone [8], [9]. Another model proposed a self-powered, soil water content measurement sensor is used to trigger the event [10].…”

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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