RT Conference Proceedings
T1 Semantic-based Context Modeling for Quality of Service Support in IoT Platforms
A1 Mingozzi, Enzo
A1 Tanganelli, Giacomo
A1 Vallati, Carlo
A1 Martinez-Rodriguez, Belen
A1 Mendia, Izaskun
A1 Gonzalez-Rodriguez, M.
AB The Internet of Things (IoT) envisions billions of devices seamlessly connected to information systems, thus providing a sensing platform for applications. The availability of such a huge number of smart things will entail a multiplicity of devices collecting overlapping data and/or providing similar functionalities. In this scenario, efficient discovery and appropriate selection of things through proper context acquisition and management will represent a critical requirement and a challenge for future IoT platforms. In this work we present a practical approach to model and manage context, and how this information can be exploited to implement QoS-aware thing service selection. In particular, it is shown how context can be used to infer knowledge on the equivalence of thing services through semantic reasoning, and how such information can be exploited to allocate thing services to applications while meeting QoS requirements even in case of failures. The proposed approach is demonstrated through a simple yet illustrative experiment in a smart home scenario.
PB IEEE
SN 978-1-5090-2185-7
SN 9781509021857
YR 2016
FD 2016-06-21
LA eng
NO Mingozzi , E , Tanganelli , G , Vallati , C , Martinez-Rodriguez , B , Mendia , I & Gonzalez-Rodriguez , M 2016 , Semantic-based Context Modeling for Quality of Service Support in IoT Platforms . in unknown . WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks , IEEE , 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2016 , Coimbra , Portugal , 21/06/16 . https://doi.org/10.1109/WoWMoM.2016.7523563
NO conference
NO Publisher Copyright: © 2016 IEEE.
DS TECNALIA Publications
RD 29 sept 2024