Design of services and applications for IOT

• Grant number: 15/24536-2
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2018
• End date: May 31, 2020
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Antonio Alfredo Ferreira Loureiro
• Grantee: Antonio Alfredo Ferreira Loureiro
• Host Institution: Instituto de Ciências Exatas (ICEx). Universidade Federal de Minas Gerais (UFMG). Ministério da Educação (Brasil). Belo Horizonte , SP, Brazil
• Associated researchers: Daniel Ludovico Guidoni ; Heitor Soares Ramos Filho ; Italo Fernando Scotá Cunha ; Leandro Aparecido Villas ; Leonardo Barbosa e Oliveira ; Thiago Henrique Silva

Abstract

The Internet of Things (IoT) is the network of physical objects or '' things '' that have processing, sensing and data communication capabilities, allowing those objects to collect and exchange data. The Internet of things allows to sense and control objects remotely over the existing Internet infrastructure, creating opportunities for a more direct integration between the physical world and computer systems, resulting in greater efficiency, precision and economic, environmental and social benefits in various human activities. IOT has a broad applicability in the most diverse segments of human activities, affecting how we work and live. However, the wide availability of data does not bring by itself an immediate value. We need to transform the different data types into information and knowledge leading to a wide range of products, services and applications that will be available in the next few years. To design services and applications for IoT we need to investigate basic problems such as data analysis and characterization, fusion of heterogeneous data sources, and localization and tracking of different data types. This proposal deals with exactly that: the investigation of basic problems whenever we design services and applications for IoT. (AU)

Scientific publications

(11)

(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)

DE SOUSA, RONIEL S.; BOUKERCHE, AZZEDINE; LOUREIRO, ANTONIO A. F.; IEEE. DisTraC: A Distributed and Low-Overhead Protocol for Traffic Congestion Control Using Vehicular Networks. 2019 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), v. N/A, p. 6-pg., 2019-01-01. (15/24536-2, 15/24494-8)

RETTORE, PAULO H.; MAIA, GUILHERME; VILLAS, LEANDRO A.; LOUREIRO, ANTONIO A. E.. Vehicular Data Space: The Data Point of View. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, v. 21, n. 3, p. 2392-2418, 2019. (15/24536-2, 15/24494-8)

CELES, CLAYSON; BOUKERCHE, AZZEDINE; LOUREIRO, ANTONIO A. F.. Crowd Management: A New Challenge for Urban Big Data Analytics. IEEE COMMUNICATIONS MAGAZINE, v. 57, n. 4, p. 20-25, APR 2019. (15/24536-2, 15/24494-8)

FERREIRA, ANA PAULA G.; SILVA, THIAGO H.; LOUREIRO, ANTONIO A. F.; IEEE. Profiling the Mobility of Tourists Exploring Social Sensing. 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), v. N/A, p. 8-pg., 2019-01-01. (15/24536-2, 15/24494-8)

DE MATTOS, EKLER P.; DOMINGUES, AUGUSTO C. S. A.; LOUREIRO, ANTONIO A. F.; IEEE. Give Me Two Points and I'll Tell You Who You Are. 2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), v. N/A, p. 7-pg., 2019-01-01. (15/24536-2, 15/24494-8)

SANTOS, BRUNO P.; RETTORE, PAULO H.; VIEIRA, LUIZ F. M.; LOUREIRO, ANTONIO A. F.; IEEE. Dribble: A learn-based timer scheme selector for mobility management in IoT. 2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), v. N/A, p. 6-pg., 2019-01-01. (15/24536-2, 15/24494-8)

COUTINHO, RODOLFO W. L.; BOUKERCHE, AZZEDINE; VIEIRA, LUIZ F. M.; LOUREIRO, ANTONIO A. F.. Underwater Sensor Networks for Smart Disaster Management. IEEE CONSUMER ELECTRONICS MAGAZINE, v. 9, n. 2, p. 107-114, MAR 2020. (15/24536-2)

BORGES, JOAO B.; RAMOS, HEITOR S.; MINI, RAQUEL A. F.; ROSSO, OSVALDO A.; FRERY, ALEJANDRO C.; LOUREIRO, ANTONIO A. F.. Learning and distinguishing time series dynamics via ordinal patterns transition graphs. Applied Mathematics and Computation, v. 362, DEC 1 2019. (15/24536-2)

COUTINHO, RODOLFO W. L.; BOUKERCHE, AZZEDINE; LOUREIRO, ANTONIO A. F.. A novel opportunistic power controlled routing protocol for internet of underwater things. COMPUTER COMMUNICATIONS, v. 150, p. 72-82, JAN 15 2020. (15/24536-2)

CELES, CLAYSON; BOUKERCHE, AZZEDINE; LOUREIRO, ANTONIO A. F.; IEEE. Mobility Data Assessment for Vehicular Networks. ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), v. N/A, p. 6-pg., 2019-01-01. (15/24494-8, 15/24536-2)

BORGES, JOAO B.; RAMOS, HEITOR S.; MINI, RAQUEL A. F.; VIANA, ALINE C.; LOUREIRO, ANTONIO A. F.; IEEE. The quest for sense: Physical phenomena classification in the Internet of Things. 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), v. N/A, p. 8-pg., 2019-01-01. (15/24536-2, 15/24494-8)