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ELIOT: enabling technologies for IoT

Grant number: 18/12579-7
Support type:Research Projects - Thematic Grants
Duration: May 01, 2019 - April 30, 2023
Field of knowledge:Engineering - Electrical Engineering
Cooperation agreement: ANR
Principal Investigator:Vitor Heloiz Nascimento
Grantee:Vitor Heloiz Nascimento
Principal investigator abroad: Elena Veronica BELMEGA
Institution abroad: Ecole Nationale Supérieure de l'Électronique et de ses Applications (ENSEA), France
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Co-Principal Investigators:Cíntia Borges Margi ; Rodrigo Caiado de Lamare
Assoc. researchers:Cassio Guimaraes Lopes ; Lukas Tobias Nepomuk Landau
Associated scholarship(s):19/19387-9 - Signal processing techniques for beamforming and coding schemes in IoT communication systems, BP.PD

Abstract

Communication networks of interconnected devices lie at the core of many key future technologies such as distributed control systems forautonomous vehicles, sensor networks for structural health monitoring and for smart cities. In addition to reliability, all these applications come with strict requirements in terms of: energyefficiency, security, latency and self-optimization capabilities, and demand for innovative enabling technologies. Theemerging Internet of Things (IoT) paradigm, projected to connect billions of wireless "things" (wireless sensors, wearables, biochiptransponders, etc.) in a vast network with drastically different characteristics among its components, has moved from being a futuristic vision to an increasing reality over therecent years. The ELIOT project is perfectly timed to address the main challenges above. (AU)

Scientific publications
(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)
PINHEIRO, FELINE CHAUD; LOPES, CASSIO GUIMARAES. A Low-Complexity Nonlinear Least Mean Squares Filter Based on a Decomposable Volterra Model. IEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 67, n. 21, p. 5463-5478, NOV 1 2019. Web of Science Citations: 0.
MARCASTEL, ALEXANDRE; BELMEGA, ELENA VERONICA; MERTIKOPOULOS, PANAYOTIS; FIJALKOW, INBAR. Online Power Optimization in Feedback-Limited, Dynamic and Unpredictable IoT Networks. IEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 67, n. 11, p. 2987-3000, JUN 1 2019. Web of Science Citations: 0.
ALVES, RENAN C. A.; OLIVEIRA, DORIEDSON A. G.; NUNEZ SEGURA, GUSTAVO A.; MARGI, CINTIA B. The Cost of Software-Defining Things: A Scalability Study of Software-Defined Sensor Networks. IEEE ACCESS, v. 7, p. 115093-115108, 2019. Web of Science Citations: 0.

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