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

Michele Ruta, Floriano Scioscia, Agnese Pinto, Filippo Gramegna, Saverio Ieva, Giuseppe Loseto, Eugenio Di Sciascio
2017 Procedia Computer Science  
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 efficient data stream mining to analyze raw data gathered from the environment and detect high-level events, annotating them with machine-understandable
more » ... etadata. 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. 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 efficient 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.
doi:10.1016/j.procs.2017.05.425 fatcat:dw53n6javzei7ixbzzsqzlrqlu