Instrumentation for Measurement of Geotechnical Parameters for Landslide Prediction Using Wireless Sensor Networks

  • Mohammed Moyed AhmedEmail author
  • Gorre Narsimhulu
  • D. Sreenivasa Rao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)


Landslides are the most serious geological disasters in our country, because of its short time of occurrence, causing heavy casualties, and huge economic losses. Due to the complexity of geographical conditions and some of the influence of technical factors such as ground displacement, groundwater conditions, and pore water pressure, a real-time dynamic monitoring of soil parameters is necessary to understand landslide dynamics and to provide an early warning mechanism. In this paper, we discuss an instrumentation model developed based on the digital geotechnical sensors and NI wireless sensor network platform with LabVIEW software, for monitoring and prediction of landslides.


Wireless sensor networks Clustering Geo-sensors Early warning system 



This research is supported in part by AICTE project under Research Promotion Scheme titled “Development of Early Warning System for Landslide Prediction”—DEWSLP-2017, JNTUHCEH, ECE Dept. No. 8–4/RFID/RPS/Policy-1/2016-17.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mohammed Moyed Ahmed
    • 1
    Email author
  • Gorre Narsimhulu
    • 1
  • D. Sreenivasa Rao
    • 1
  1. 1.Department of ECECollege of Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH)HyderabadIndia

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