Observing and Predicting Land Slide using Three Stage Warning System in WSN

A landslide is an environmental disaster that originates from humans’ enormous destruction of infrastructure. Real-time observing of a landslide lying region is essential to the problem for warning. A wireless sensor network (WSN) is an effective technique for observing real-time disaster-prone areas. To achieve real-time observation, an enormous amount of information must be gathered and examined in a short time. This approach has been introduced for efficient information gathering by the threshold warning stage. This approach proposes Observing and Predicting Land Slides (OPLS) using three Stage Warning System in WSN. Apply a three-stage warning system that decides the amount of information gathered and prioritizes the average and high-level warning message. The initial stage warning stage is a low-level alert, and the average stage warning system contains a medium-level warning system. In addition, the high-stage warning system represents the high-level alert message. Use sleep and awake scheduling to minimize the network’s energy consumption in this approach. It is an important message, and this message evades high-level destruction. The queue will prioritize the high-level alert message to avoid the time delay. The experimental outcomes demonstrate that the OPLS method minimizes the packet loss ratio, and the sensor node provides better sensing results in better accuracy in the WSN.