A Reference Architecture for a Crowdsensing Platform in Smart Cities;Uma Arquitetura de Referência para Plataforma de Crowdsensing em Smart Cities

SBSI 2015 - Proceedings of the Annual Conference on Brazilian Symposium on Information Systems, Information Systems: A Computer Socio-Technical Perspective

Volumn , Issue , 2015, Pages 87-94

  Diniz, Herbertt B M ^a   Silva, Emanoel C G F ^a   da Gama, Kiev Santos ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Architecture; CEP; Crowdsensing; Smart Cities

Indexed keywords

DATA INTEGRATION; INTEGRATION; POPULATION STATISTICS; REAL TIME SYSTEMS; SYSTEM STABILITY; URBAN GROWTH;

CEP; COMPLEXES STRUCTURE; CROWDSENSING; LARGE CITIES; LARGE VOLUMES; POPULATION GROWTH; REAL- TIME; REFERENCE ARCHITECTURE; SOURCES OF INFORMATIONS; URBAN PROBLEMS;

SMART CITY;

EID: 85040314975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Bikepe. http://www.bikepe.com/. Acessado em 1 Fev de 2015.
2. Espertech. http://www.espertech.com. Acessado em 1 Jan de 2015.
3. Rabbitmq, clustering guide. http://www.rabbitmq.com/clustering.html. Acessado em 1 Jan de 2015.
4. Restlet - restful web framework for java. http://www.restlet.org/. Acessado em 1 Jan de 2015.
5. Sencha touch - html5 mobile framework. http://www.sencha.com/products/touch/. Acessado em 1 Jan de 2015.
6. United nations. world urbanization prospects: the 2011 revision. ny. Acessado em 1 Jan de 2015.
7. E. Aubry, T. Silverston, A. Lahmadi, and O. Festor. Crowdout: A mobile crowdsourcing service for road safety in digital cities. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on, pages 86–91. IEEE, 2014.
8. R. Borja and K. Gama. Middleware para cidades inteligentes baseado em um barramento de serviços. In X Simpósio Brasileiro de Sistemas de Informação (SBSI), volume 1, pages 584–590, 2014.
9. L. Brownsword, T. Oberndorf, and C. A. Sledge. Developing new processes for cots-based systems. IEEE Software, 17(4):48–55, 2000.
10. M. Choi and B.-T. Kang.Html5 platform independent mobile application using location-based service. Life Science Journal, 11(7), 2014.
11. T. Erickson. Geocentric crowdsourcing and smarter cities: Enabling urban intelligence in cities and regions. In 1st Ubiquitous Crowdsourcing Workshop at UbiComp, 2010.
12. O. Etzion and P. Niblett. Event Processing in Action. Manning Publications Co., Greenwich, CT, USA, 1st edition, 2010.
13. K. Farkas, A. Z. Nagy, T. Tomás, and R. Szabo. Participatory sensing based real-time public transport information service. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on, pages 141–144. IEEE, 2014.
14. L. Filipponi, A. Vitaletti, G. Landi, V. Memeo, G. Laura, and P. Pucci. Smart city: An event driven architecture for monitoring public spaces with heterogeneous sensors. In Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on, pages 281–286. IEEE, 2010.
15. R. K. Ganti, F. Ye, and H. Lei. Mobile crowdsensing: current state and future challenges. Communications Magazine, IEEE, 49(11):32–39, 2011.
16. F. Gasperoni. Floss, cots, and safety: A business perspective. 3rd European Congress ERTS – Embedded Real Time Software, 2006.
17. J.-L. Maréchaux. Combining service-oriented architecture and event-driven architecture using an enterprise service bus. IBM Developer Works, pages 1269–1275, 2006.
18. T. Nagel, M. Maitan, E. Duval, A. V. Moere, J. Klerkx, K. Kloeckl, and C. Ratti. Touching transport-a case study on visualizing metropolitan public transit on interactive tabletops. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces, pages 281–288. ACM, 2014.
19. M. Naphade, G. Banavar, C. Harrison, J. Paraszczak, and R. Morris. Smarter cities and their innovation challenges. Computer, 44(6):32–39, 2011.
20. N. Odendaal. Information and communication technology and local governance: understanding the difference between cities in developed and emerging economies. Computers, Environment and Urban Systems, 27(6):585–607, 2003.
21. W. Sherchan, P. P. Jayaraman, S. Krishnaswamy, A. Zaslavsky, S. Loke, and A. Sinha. Using on-the-move mining for mobile crowdsensing. In Mobile Data Management (MDM), 2012 IEEE 13th International Conference on, pages 115–124. IEEE, 2012.
22. D. A. Wheeler. Why open source softwarefree software (ossfs, floss, or foss)? look at the numbers! http://www.dwheeler.com/oss fs why.html. Acessado em 1 Jan de 2015.