The Design of a Sensor Network Based on Iot Technology for Landslide Hazard Assessment

In the present paper, the authors deal with the landslide issue and the associated risk management. The design of a sensor network for monitoring landslide triggering events is proposed. The network consists of websensors using IoT technology to share measurement results and information. Data are acquired and processed to characterize the occurrence of triggering events causing landslides. The aim is to provide timely landslide hazard maps. The projected measurement system is a configurable network of wireless and smart sensors geographically distributed. The monitored area is divided in local zones, each zone is monitored by a smart sensor. Topographical and environmental information is used to cluster the area in order to configure the network and the monitoring process. According to the desired resolution, an algorithm fixes the size and number of local zones. The single sensor is able to measure the sliding and spatial movements of soil by means of accelerometers. Each sensing node transfers data to a Web page by a HSDPA modem for processing stage. Information can be remotely analyzed so to single out hazard and risky situations for the population in the monitored area. Then suitable interventions and actions can be planned from the civil protection.