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

Abstract : Sensors networks are the backbone of large sensing infras-tructures 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.
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Communication dans un congrès
International Conference on Software Reuse (ICSR’15), Jan 2015, Miami, United States. Springer, Proceedings of the 14th International Conference on Software Reuse (ICSR’15), 2014, <10.1007/978-3-319-14130-5_16>


https://hal.archives-ouvertes.fr/hal-01341098
Contributeur : Cyril Cecchinel <>
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Dernière modification le : mardi 5 juillet 2016 - 01:04:53
Document(s) archivé(s) le : mercredi 5 octobre 2016 - 13:13:01

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Cyril Cecchinel, Sébastien Mosser, Philippe Collet. Software Development Support for Shared Sensing Infrastructures: A Generative and Dynamic Approach. International Conference on Software Reuse (ICSR’15), Jan 2015, Miami, United States. Springer, Proceedings of the 14th International Conference on Software Reuse (ICSR’15), 2014, <10.1007/978-3-319-14130-5_16>. <hal-01341098>

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