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WSNs in FIWARE – Towards the Development of People-Centric Applications

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Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems (PAAMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

Abstract

Wireless Sensors Networks (WSNs) form the founding block of the Internet of Things (IoT) Sensing Layer. In IoT scenarios, programmers will make the most of IoT if they focus on the development of context-aware applications rather than managing low-level aspects of the network they run on. To this end, providing harmonized data models eases the development of applications. Focusing on crossbow-micaZ sensors, we present an approach to integrate a heterogeneous WSN platform into FIWARE, towards the development of people-centric applications.

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Notes

  1. 1.

    statista.com, Accessed at December 4th, 2016.

  2. 2.

    fiware.org, accessed on 12/12/2016.

  3. 3.

    https://www.fi-ppp.eu, accessed on 12/12/2016.

  4. 4.

    https://catalogue.fiware.org/, accessed on March 18th, 2017.

  5. 5.

    https://www.fiware.org/2015/03/27/build-your-own-iot-platform-with-fiware-enablers/, accessed on December 17th, 2016.

  6. 6.

    https://forge.fiware.org/plugins/mediawiki/wiki/fiware/index.php/FIWARE_Architecture_R3, accessed on December 17th, 2016.

  7. 7.

    https://www.cisuc.uc.pt/projects/show/215.

  8. 8.

    http://socialiteckan.dei.uc.pt/dataset/socialite.

  9. 9.

    http://www.cmt-gmbh.de/Produkte/WirelessSensorNetworks/MPR2400.html.

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Acknowledgments

The work presented in this paper was partly carried out in the scope of the SOCIALITE Project (PTDC/EEI-SCR/2072/2014), co-financed by COMPETE 2020, Portugal 2020 - Operational Program for Competitiveness and Internationalization (POCI), European Union’s ERDF (European Regional Development Fund), and the Portuguese Foundation for Science and Technology (FCT).

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Authors and Affiliations

  1. Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290, Coimbra, Portugal

    Ngombo Armando, Duarte Raposo, Marcelo Fernandes, André Rodrigues, Jorge Sá Silva & Fernando Boavida

  2. Escola Superior Politécnica do Uíge, Universidade Kimpa Vita, Uíge, Angola

    Ngombo Armando

  3. ISCAC, Polytechnic Institute of Coimbra, 3040-316, Coimbra, Portugal

    André Rodrigues

Authors
  1. Ngombo Armando
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  2. Duarte Raposo
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  3. Marcelo Fernandes
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  4. André Rodrigues
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  5. Jorge Sá Silva
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  6. Fernando Boavida
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Corresponding author

Correspondence to Ngombo Armando .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

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Armando, N., Raposo, D., Fernandes, M., Rodrigues, A., Silva, J.S., Boavida, F. (2017). WSNs in FIWARE – Towards the Development of People-Centric Applications. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_38

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  • DOI: https://doi.org/10.1007/978-3-319-60285-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

  • Online ISBN: 978-3-319-60285-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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