DocumentCode :
3056733
Title :
Angular Variation Methodology for Landslide Measurement
Author :
Kiran, Y.B. ; Mallapur, J.D. ; Sharanappa, P.H. ; Somu, P.P.
Author_Institution :
Dept. of Electron. & Commun. Eng., Basaveshwar Eng. Coll., Bagalkot, India
fYear :
2012
fDate :
24-26 July 2012
Firstpage :
47
Lastpage :
52
Abstract :
Landslide detection is very common due to uninten- tional natural disasters. A challenging wireless sensor networks can be used to alarm the effects of landslides well in advance before the cause occurs. The proposed work considers a tiny sensor nodes for the application with base station as central manager and sensor nodes for gathering the raw data that are timely coordinatedto monitor the application´s. The applications under considerations are hills, mountains, regions with heavy rain fall where human monitoring is difficult rather impossible. The sensor nodes deployed on the surfaces of non reachable areas will be sending continuous measured parameters such as voltage accelerometers along X and Y axis and sensitivity accelerometers. Based on these parameters tilt angle of a node is computed, which is compared with threshold tilt angles. If the tilt angle is lesser than threshold value, then land sliding alarm is sent to the base station. In turn base station announces the same in the loud speaker up-to 2 km-ts. The proposed scheme results have been simulated using crossbow kit, moteview software and visual basic coding to visualise its effects in real time scenario.
Keywords :
geomorphology; geophysical equipment; geophysical techniques; rain; wireless sensor networks; angular variation methodology; base station; central manager; crossbow kit; heavy rain fall; human monitoring; landslide detection; landslide effects; landslide measurement; loud speaker; moteview software; non reachable areas; real time scenario; sensitivity accelerometers; tiny sensor nodes; unintentional natural disasters; visual basic coding; voltage accelerometers; wireless sensor networks; Accelerometers; Base stations; Monitoring; Temperature measurement; Temperature sensors; Terrain factors; Wireless sensor networks; Landslides; Tilt angle; WSN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
Type :
conf
DOI :
10.1109/CICSyN.2012.19
Filename :
6274315
Link To Document :
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