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

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Book cover Software Reuse for Dynamic Systems in the Cloud and Beyond (ICSR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8919))

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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.

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References

  1. Aggarwal, C.C. (ed.): Managing and Mining Sensor Data. Springer (2013)

    Google Scholar 

  2. Apel, S., Batory, D.S., Kästner, C., Saake, G.: Feature-Oriented Software Product Lines - Concepts and Implementation. Springer (2013)

    Google Scholar 

  3. Buratti, C., Conti, A., Dardari, D., Verdone, R.: An overview on wireless sensor networks technology and evolution. Sensors 9(9), 6869–6896 (2009), http://www.mdpi.com/1424-8220/9/9/6869

    Article  Google Scholar 

  4. Cecchinel, C., Jimenez, M., Mosser, S., Riveill, M.: An Architecture to Support the Collection of Big Data in the Internet of Things. In: International Workshop on Ubiquitous Mobile Cloud (UMC 2014, Co-located with SERVICES 2014), pp. 1–8. IEEE, Anchorage (2014)

    Google Scholar 

  5. Chapin, P.C., Skalka, C., Smith, S.F., Watson, M.: Scalaness/nesT: Type Specialized Staged Programming for Sensor Networks. In: Järvi, J., Kästner, C. (eds.) GPCE, pp. 135–144. ACM (2013)

    Google Scholar 

  6. DeAntoni, J., Mallet, F.: TimeSquare: Treat your Models with Logical Time. In: Furia, C.A., Nanz, S. (eds.) TOOLS Europe 2012. LNCS, vol. 7304, pp. 34–41. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Diao, Y., Ganesan, D., Mathur, G., Shenoy, P.J.: Rethinking data management for storage-centric sensor networks. In: Third Biennial Conference on Innovative Data Systems Research, CIDR 2007, Asilomar, CA, USA, January 7-10, pp. 22–31 (2007)

    Google Scholar 

  8. Dunkels, A., Gronvall, B., Voigt, T.: Contiki - A lightweight and flexible operating system for tiny networked sensors. In: 29th Annual IEEE International Conference on Local Computer Networks, pp. 455–462 (November 2004)

    Google Scholar 

  9. Fambon, O., Fleury, E., Harter, G., Pissard-Gibollet, R., Saint-Marcel, F.: Fit iot-lab tutorial: Hands-on practice with a very large scale testbed tool for the internet of things. In: 10èmes Journées Francophones Mobilité et Ubiquité (UbiMob), pp. 1–5 (June 2014)

    Google Scholar 

  10. Fleurey, F., Morin, B., Solberg, A.: A Model-Driven Approach to Develop Adaptive Firmwares. In: Giese, H., Cheng, B.H.C. (eds.) SEAMS, pp. 168–177. ACM (2011)

    Google Scholar 

  11. Fouquet, F., Morin, B., Fleurey, F., Barais, O., Plouzeau, N., Jezequel, J.M.: A Dynamic Component Model for Cyber Physical Systems. In: Proceedings of the 15th ACM SIGSOFT Symposium on Component Based Software Engineering, CBSE 2012, pp. 135–144. ACM, New York (2012)

    Google Scholar 

  12. Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N., Razafindralambo, T.: A Survey on Facilities for Experimental Internet of Things Research. IEEE Communications Magazine 49(11), 58–67 (2011), http://hal.inria.fr/inria-00630092

    Article  Google Scholar 

  13. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Comp. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  14. Levis, P., Madden, S., Polastre, J., Szewczyk, R., Woo, A., Gay, D., Hill, J., Welsh, M., Brewer, E., Culler, D.: Tinyos: An operating system for sensor networks. In: Ambient Intelligence. Springer (2004)

    Google Scholar 

  15. LogMeIn: Xively (May 2014), http://xively.com/

  16. Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: Tinydb: An acquisitional query processing system for sensor networks. ACM Trans. Database Syst. 30(1), 122–173 (2005), http://doi.acm.org/10.1145/1061318.1061322

    Article  Google Scholar 

  17. Mahmood, A., Ke, S., Khatoon, S., Xiao, M.: Data mining techniques for wireless sensor networks: A survey. IJDSN 2013 (2013)

    Google Scholar 

  18. Morin, B., Barais, O., Jezequel, J., Fleurey, F., Solberg, A.: Models@run.time to Support Dynamic Adaptation. Computer 42(10), 44–51 (2009)

    Article  Google Scholar 

  19. Sanchez, L., Galache, J., Gutierrez, V., Hernandez, J., Bernat, J., Gluhak, A., Garcia, T.: Smartsantander: The meeting point between future internet research and experimentation and the smart cities. In: Future Network Mobile Summit (FutureNetw), pp. 1–8 (June 2011)

    Google Scholar 

  20. Stickel, M.E.: A Unification Algorithm for Associative-Commutative Functions. J. ACM 28(3), 423–434 (1981)

    Article  MATH  MathSciNet  Google Scholar 

  21. Tonneau, A.S., Mitton, N., Vandaele, J.: A Survey on (mobile) wireless sensor network experimentation testbeds. In: DCOSS - IEEE International Conference on Distributed Computing in Sensor Systems, Marina Del Rey, California, États-Unis (May 2014), http://hal.inria.fr/hal-00988776

  22. Tsiftes, N., Dunkels, A.: A database in every sensor. In: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, pp. 316–332. ACM, New York (2011), http://doi.acm.org/10.1145/2070942.2070974

    Google Scholar 

  23. Völgyesi, P., Maróti, M., Dóra, S., Osses, E., Lédeczi, Á.: Software Composition and Verification for Sensor Networks. Sci. Comput. Program. 56(1-2), 191–210 (2005)

    Article  Google Scholar 

  24. Yao, Y., Gehrke, J.: The cougar approach to in-network query processing in sensor networks. SIGMOD Rec. 31(3), 9–18 (2002), http://doi.acm.org/10.1145/601858.601861

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. I3S, UMR 7271, Université Nice Sophia Antipolis, 06900, Sophia Antipolis, France

    Cyril Cecchinel, Sébastien Mosser & Philippe Collet

  2. CNRS, I3S, UMR 7271, 06900, Sophia Antipolis, France

    Cyril Cecchinel, Sébastien Mosser & Philippe Collet

Authors
  1. Cyril Cecchinel
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  2. Sébastien Mosser
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  3. Philippe Collet
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Editor information

Editors and Affiliations

  1. Institut für Softwaretechnik und Fahrzeuginformatik, Technische Universität Braunschweig, Mühlenpfordtstr. 23, 38106, Braunschweig, Germany

    Ina Schaefer

  2. Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Ioannis Stamelos

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© 2014 Springer International Publishing Switzerland

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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. https://doi.org/10.1007/978-3-319-14130-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-14130-5_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14129-9

  • Online ISBN: 978-3-319-14130-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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