An IoT Architecture to Provide Hybrid Context Reasoning - Internet of Things. A Confluence of Many Disciplines Access content directly
Conference Papers Year : 2020

An IoT Architecture to Provide Hybrid Context Reasoning

Abstract

Considering the dynamic nature of the modern computational infrastructures provided by IoT, applications need to be aware of the contextual data that interest them, to be able to operate with as little human intervention as possible. Thus, context awareness becomes a key concept to provide adaptive services in IoT environments. Context reasoning is one of the more critical steps to obtain context awareness. However, a context reasoning strategy that can be applied satisfactorily in different application domains has not yet been found. Because of this, hybrid strategies for context reasoning are gaining prominence. In the literature, some researchers explore hybrid proposals, but these proposals do not offer flexibility on the use of the reasoning strategies. In this research, we conceive hybrid reasoning based on compositional rules, enabling a dynamic composition of different strategies. Thus, the context-aware applications can choose among different reasoning strategies, those that are most appropriate depending on the contexts that will be treated. To validate our architecture, we design and test it on a scenario based on healthcare. The obtained results showed that our architecture allows the utilization of hybrid strategies for context reasoning, improving situations identification, and decision-making.
Fichier principal
Vignette du fichier
496697_1_En_6_Chapter.pdf (572.22 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03371600 , version 1 (08-10-2021)

Licence

Attribution

Identifiers

Cite

Roger Machado, Ricardo Almeida, Rogério Albandes, Ana Marilza Pernas, Adenauer Yamin. An IoT Architecture to Provide Hybrid Context Reasoning. 2nd IFIP International Internet of Things Conference (IFIPIoT), Oct 2019, Tampa, FL, United States. pp.86-102, ⟨10.1007/978-3-030-43605-6_6⟩. ⟨hal-03371600⟩
20 View
13 Download

Altmetric

Share

Gmail Facebook X LinkedIn More