Simulation of wireless sensor networks for landslide monitoring

Author(s)

Karlson Tellicio Bezerra de Lima

• Document type: Master's Dissertation
• Press: São Paulo.
• Institution: Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI)
• Defense date: 2022-12-22

Examining board members

Fabio Kon; Arlindo Flavio da Conceição; Denise Stringhini

• Advisor: Fabio Kon; Kelly Rosa Braghetto

Abstract

Landslides are one of the most common types of natural disasters. Such events can cause great social and material damage. Wireless Sensor Networks (WSNs) can be important tools in monitoring and predicting landslides and eventually restoring normality. However, they are not yet widely used tools for this purpose. This work provides a study of WSNs for monitoring landslides through computer simulations to support an eventual implementation of low-cost WSN, which will monitor and collect data on landslide occurrences. Different deployment strategy scenarios, message packet size, and radio communication frequency were examined, in addition to evaluating node density limits. We evaluated metrics such as network lifetime and packet loss and found that landslide monitoring using WSNs is feasible. The computational simulations carried out identified configurations that guarantee good performance with a longer network lifetime. Furthermore, we observed that the most significant impact on the network lifespan is caused by large message packets and high transmission frequencies. Packet losses, on the other hand, are more related to long distances between network nodes and gateways and overhearing problems. (AU)

• FAPESP's process: 19/25805-8 - A big data tool for the analysis of data generated by an inertial MEMS sensor
• Grantee: Karlson Tellicio Bezerra de Lima
• Support Opportunities: Scholarships in Brazil - Master