Software Development Support for Shared Sensing Infrastructures: A Generative and Dynamic Approach

  • Cyril Cecchinel
  • Sébastien Mosser
  • Philippe Collet
Conference paper

DOI: 10.1007/978-3-319-14130-5_16

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8919)
Cite this paper as:
Cecchinel C., Mosser S., Collet P. (2014) Software Development Support for Shared Sensing Infrastructures: A Generative and Dynamic Approach. In: Schaefer I., Stamelos I. (eds) Software Reuse for Dynamic Systems in the Cloud and Beyond. ICSR 2015. Lecture Notes in Computer Science, vol 8919. Springer, Cham

Abstract

Sensors networks are the backbone of large sensing infrastructures such as Smart Cities or Smart Buildings. Classical approaches suffer from several limitations hampering developers’ work (e.g., lack of sensor sharing, lack of dynamicity in data collection policies, need to dig inside big data sets, absence of reuse between implementation platforms). This paper presents a tooled approach that tackles these issues. It couples (i) an abstract model of developers’ requirements in a given infrastructure to (ii) timed automata and code generation techniques, to support the efficient deployment of reusable data collection policies on different infrastructures. The approach has been validated on several real-world scenarios and is currently experimented on an academic campus.

Keywords

Sensor Network Software Composition Modeling 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Cyril Cecchinel
    • 1
    • 2
  • Sébastien Mosser
    • 1
    • 2
  • Philippe Collet
    • 1
    • 2
  1. 1.I3S, UMR 7271Université Nice Sophia AntipolisSophia AntipolisFrance
  2. 2.CNRS, I3S, UMR 7271Sophia AntipolisFrance

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