Mobile Networks and Applications

, Volume 18, Issue 3, pp 357–372

Scalable Data Processing for Community Sensing Applications

  • Sérgio Duarte
  • David Navalho
  • Heitor Ferreira
  • Nuno Preguiça
Article

DOI: 10.1007/s11036-012-0424-9

Cite this article as:
Duarte, S., Navalho, D., Ferreira, H. et al. Mobile Netw Appl (2013) 18: 357. doi:10.1007/s11036-012-0424-9

Abstract

Participatory Sensing is a new computing paradigm that aims to turn personal mobile devices into advanced mobile sensing networks. For popular applications, we can expect a huge number of users to both contribute with sensor data and request information from the system. In such scenario, scalability of data processing becomes a major issue. In this paper, we present a system for supporting participatory sensing applications that leverages cluster or cloud infrastructures to provide a scalable data processing infrastructure. We propose and evaluate three strategies for data processing in this architecture.

Keywords

Participatory sensing Distributed processing Mobile computing 

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Sérgio Duarte
    • 1
  • David Navalho
    • 1
  • Heitor Ferreira
    • 1
  • Nuno Preguiça
    • 1
  1. 1.CITI - Departamento de Informática Faculdade de Ciências e TecnologiaUniversidade Nova de LisboaCaparicaPortugal

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