This paper proposes a novel Semantic Web of Things 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 framework also integrates ecient data stream mining to analyze raw data gathered from the environment and detect high-level events, annotating them with machine-understandable metadata. A case study about cooperative environmental risk monitoring and prevention in Hybrid Sensor and Vehicular Networks is presented and experimental performance results on a real testbed are provided.

A CoAP-based framework for collaborative sensing in the Semantic Web of Things / Ruta, Michele; Scioscia, Floriano; Pinto, Agnese; Gramegna, Filippo; Ieva, Saverio; Loseto, Giuseppe; DI SCIASCIO, Eugenio. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - ELETTRONICO. - 109:(2017), pp. 1047-1052. [10.1016/j.procs.2017.05.425]

A CoAP-based framework for collaborative sensing in the Semantic Web of Things

RUTA, Michele;SCIOSCIA, Floriano;PINTO, Agnese;GRAMEGNA, Filippo;IEVA, Saverio;LOSETO, Giuseppe;DI SCIASCIO, Eugenio
2017-01-01

Abstract

This paper proposes a novel Semantic Web of Things 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 framework also integrates ecient data stream mining to analyze raw data gathered from the environment and detect high-level events, annotating them with machine-understandable metadata. A case study about cooperative environmental risk monitoring and prevention in Hybrid Sensor and Vehicular Networks is presented and experimental performance results on a real testbed are provided.
2017
A CoAP-based framework for collaborative sensing in the Semantic Web of Things / Ruta, Michele; Scioscia, Floriano; Pinto, Agnese; Gramegna, Filippo; Ieva, Saverio; Loseto, Giuseppe; DI SCIASCIO, Eugenio. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - ELETTRONICO. - 109:(2017), pp. 1047-1052. [10.1016/j.procs.2017.05.425]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/106569
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