Angular Variation Methodology for Landslide Measurement

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.