A big data tool for the analysis of data generated by an inertial MEMS sensor

• Grant number: 19/25805-8
• Support type: Scholarships in Brazil - Master
• Effective date (Start): February 01, 2020
• Effective date (End): July 31, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal researcher: Fabio Kon
• Grantee: Karlson Tellicio Bezerra de Lima
• Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 17/50343-2 - Institutional development plan in the area of digital transformation: advanced manufacturing and smart and sustainable cities (PDIp), AP.PDIP

Abstract

Wireless sensor networks are an important strategy for monitoring various phenomena in smart cities. In a network of inertial sensors information can be integrated in Big Data environments. The proposed research aims to investigate and evaluate communication protocols and ways of integrating this information, proposing alternatives and strategies for its implementation. (AU)