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Data Reduction and Energy Sustenance In Multi sensor Networks for Landslide Monitoring
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Data Reduction and Energy Sustenance In Multi sensor Networks for Landslide Monitoring

Category : Wireless


Sub Category : Terrestrial


Project Code : ITWI18


Project Abstract

                  The advent of sensor networks and wireless technologies offers the capability of quick capture, processing, and transmission of critical disaster data in real-time from inaccessible sites, incurring minimum maintenance as well. India faces rainfall-induced landslides every year with a large threat to human life and an annual loss of U.S. $400 million. A landslide is a short lived and suddenly occurring phenomenon, and its causative factors can be accumulated rainfall, moisture and pore pressure saturation in the soil, or a steep slope angle, among others. This research focuses on sensor networks for detecting landslides, paying particular attention to data reduction and energy minimization.

Existing System

Proposed System

       There are no studies that have systematically quantified the effectiveness of different types of sensors for monitoring disasters, particularly, landslides.

          Further, there are no studies reporting adequate amounts of data from real field deployments.

Drawbacks

     There is no wireless system for data transfer.

      It is not possible to monitor the landslide

      High cost and more time consumption.

      Our distinguishing contribution is to present studies from significant amounts of data collected from a real world field deployment that has been kept operational for sufficiently long duration amidst inclement weather conditions.

 

 

Advantages

  Easy to predict landslide

 Low cost and wireless.

                          Easy to maintain data.

                           Helpful in roads of hill areas


 
 
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