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CoAP-based collaborative sensor networks in the Semantic Web of Things

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Abstract

The Semantic Web of Things (SWoT) integrates knowledge representation and reasoning techniques originally devised for the Semantic Web into Internet of Things architectures, in order to provide more advanced service/resource management and discovery. This paper proposes a novel SWoT framework, enabling collaborative discovery of sensors and actuators in pervasive contexts. It is based on a backward-compatible extension of the Constrained Application Protocol (CoAP), supporting advanced semantic matchmaking via non-standard inference services. The proposed mobile agent is able to discover devices and share smartphone embedded sensors in a peer-to-peer fashion. Efficient data stream mining is also integrated to analyze raw data gathered from the environment and detect high-level events, annotating them with machine-understandable metadata. Finally, a case study about cooperative environmental risk monitoring and prevention in Hybrid Sensor and Vehicular Networks is presented. Experimental performance results on a real testbed assess the approach.

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Notes

  1. http://eclipse.org/californium.

  2. http://github.com/gtoubassi/femtozip.

  3. http://sisinflab.poliba.it/swottools/minime/.

  4. http://github.com/sisinflab-swot/semantic-coap.

  5. http://josm.openstreetmap.de/.

  6. Developed using Android SDK Tools (revision 26.0.1), Android Platform version 5.1 (API level 22), and tested on a Google LG Nexus 4 smartphone with Qualcomm APQ8064 Snapdragon S4 Pro Quad Core CPU at 1.5 GHz, 2 GB RAM, 16 GB internal memory, and Android version 5.1.1. Source code available online on the project repository.

  7. http://www.udoo.org/udoo-dual-and-quad.

  8. http://www.raspberrypi.org/products/model-b/.

  9. http://zolertia.sourceforge.net/wiki/index.php/Mainpage:Gateway.

  10. http://github.com/Zolertia/Resources/wiki/The-Z1-mote.

  11. http://www.intel.com/content/www/us/en/do-it-yourself/edison.html.

  12. http://www.arduino.cc/en/Main/ArduinoBoardDue.

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Acknowledgements

The authors acknowledge partial support of the Italian PON project ASMARA (Pilot Applications post Directive 2010/65 in Italian port realities of the Suite MIELE to support the Authority to optimize the inteRoperability in the intermodAlity of city-port flows).

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Authors and Affiliations

  1. Polytechnic University of Bari, via E. Orabona 4, 70125, Bari, Italy

    Michele Ruta, Floriano Scioscia, Agnese Pinto, Filippo Gramegna, Saverio Ieva, Giuseppe Loseto & Eugenio Di Sciascio

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  1. Michele Ruta
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  2. Floriano Scioscia
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  3. Agnese Pinto
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  4. Filippo Gramegna
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  6. Giuseppe Loseto
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  7. Eugenio Di Sciascio
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Correspondence to Michele Ruta.

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Ruta, M., Scioscia, F., Pinto, A. et al. CoAP-based collaborative sensor networks in the Semantic Web of Things. J Ambient Intell Human Comput 10, 2545–2562 (2019). https://doi.org/10.1007/s12652-018-0732-4

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