Abstract
In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On the other hand, there are many implementations of context-aware systems applied to specific IoT-based smart environments that are context-specific: it is not clear how they can be extended to other use cases. In this article, we aim to provide an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments. We rely on the building blocks of the FIWARE ecosystem and the NGSI data standard, providing an agnostic end-to-end solution that considers the complete data lifecycle, covering from data acquisition and modeling, to data reasoning and dissemination. In other words, our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. Furthermore, we provide two example use cases that showcase how our reference implementation can be used in a variety of fields.
Highlights
Context can be defined as “any information that can be used to characterize the situation of an entity, where an entity can be a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves” [1]
In order to deal with these types of systems that are not covered by the IoT Agents, FIWARE relies on the Draco Generic Enablers (GEs)
Our implementation relies on FIWARE GEs and commonly used open source technologies, a combination that has proven useful in the past for building other types of smart solutions such as digital twins [46], data usage controlled sharing environments [47,48], and enhanced authentication systems [49]
Summary
Context can be defined as “any information that can be used to characterize the situation of an entity, where an entity can be a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves” [1]. Applications may use contextual information without accounting for the specific details of devices or how they have been implemented When it comes to veracity, context-aware systems need to consider the security and privacy aspects of data, providing the right balance between privacy and system potential. There are many implementations of context-aware systems applied to specific IoT-based smart environments use cases (e.g., smart farming, smart cities). Our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. We present related work on context-aware systems and their specific application to IoT-based smart environments.
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