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Exploiting the sensor web and participatory sensing approaches for urban river monitoring

Grant number: 12/22550-0
Support type:Regular Research Grants
Duration: August 01, 2013 - July 31, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Jó Ueyama
Grantee:Jó Ueyama
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Assoc. researchers:Leandro Aparecido Villas

Abstract

This research project aims at exploiting the Sensor Web approach for monitoring urban rivers. This fosters the construction of smart cities in Brazil. Sensor Web is a new technology that aims at making a wireless sensor netowks available on the Web (Internet). The central idea is to allow any Internet user to read the data from the sensors installed along urban rivers. Such data may be the pollution level as well as those used to predict the flooding. The river pollution data is read by conductivity sensors while of the flooding by analog pressure sensors. One of the aims is to use existing standards for this as the OGC (Open Geospatial Consortium) and conduct experiments; this can validate its viability. It is important to emphasize that this project aims to continue the work started with the Jovem Pesquisador FAPESP research call (2008/05346-4). During that project, we proposed a component-based middleware and implemented a prototype to detect floods in urban rivers. The result of the project was the subject of two articles in the Boletim Agência FAPESP in 2010 and 2011. Now, we intend to continue this research, investigating the use of Sensor Web approach to provide a smart city in the monitoring of urban rivers (floods and pollution). The impacts obtained during the term of the previous project were very promising. (AU)

Articles published in Pesquisa FAPESP Magazine about the research grant:
Una alarma contra inundaciones 
Cataloged emotions 
Un catálogo de emociones 
Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GONCALVES, VINICIUS P.; DE ALMEIDA NERIS, VANIA P.; SERAPHINI, SIBELIUS; DIAS, TERESA C. M.; PESSIN, GUSTAVO; JOHNSON, THIENNE; UEYAMA, JO. Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, v. 16, n. 1, p. 129-149, MAR 2017. Web of Science Citations: 6.
FURQUIM, GUSTAVO; PESSIN, GUSTAVO; FAICAL, BRUNO S.; MENDIONDO, EDUARDO M.; UEYAMA, JO. Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. NEURAL COMPUTING & APPLICATIONS, v. 27, n. 5, SI, p. 1129-1141, JUL 2016. Web of Science Citations: 7.
HORITA, FLAVIO E. A.; DE ALBUQUERQUE, JOAO PORTO; DEGROSSI, LIVIA C.; MENDIONDO, EDUARDO M.; UEYAMA, JO. Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Computers & Geosciences, v. 80, p. 84-94, JUL 2015. Web of Science Citations: 42.
VILLAS, LEANDRO A.; GUIDONI, DANIEL L.; MAIA, GUILHERME; PAZZI, RICHARD W.; UEYAMA, JO; LOUREIRO, ANTONIO A. F. An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle. WIRELESS NETWORKS, v. 21, n. 2, p. 485-498, FEB 2015. Web of Science Citations: 5.
UEYAMA, JO; FREITAS, HEITOR; FAICAL, BRUNO S.; FILHO, GERALDO P. R.; FINI, PEDRO; PESSIN, GUSTAVO; GOMES, PEDRO H.; VILLAS, LEANDRO A. Exploiting the Use of Unmanned Aerial Vehicles to Provide Resilience in Wireless Sensor Networks. IEEE COMMUNICATIONS MAGAZINE, v. 52, n. 12, p. 81-87, DEC 2014. Web of Science Citations: 17.
FILHO, GERALDO P. R.; UEYAMA, JO; VILLAS, LEANDRO A.; PINTO, ALEX R.; GONCALVES, VINICIUS P.; PESSIN, GUSTAVO; PAZZI, RICHARD W.; BRAUN, TORSTEN. NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques. SENSORS, v. 14, n. 1, p. 848-867, JAN 2014. Web of Science Citations: 12.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.