Wireless sensor network in landslide monitoring system with remote data management

This paper describes a system that uses a wireless sensor network (WSN) to monitor landslide disasters in remote areas. The system consists of 3 subsystems called the Local Sensing Node Network System (LSNNS), the Cloud System (CS), and the Host System (HS). To monitor the field status and condition of the nodes remotely, we set up an appropriate management scheme in which the HS collects various data types in categories: node status, node data, LSNNS status, and LSNNS data. Equivalent lists are available to manage the HS and CS. Each data type contributes to 1 or 2 key analyses in determining a temporary situation. Experiments are conducted to investigate some featured data for landslide monitoring application, including node posture, dynamic change of topology, landslide occurrence recognition, and node location change. Where WSN is a candidate for monitoring natural disasters, this remote management scheme provides the surveillance process with extra information and helps the operator to comprehend the situation and maneuver with less effort.