Abstract
The adoption of the Internet of Things (IoT) in healthcare has received considerable interest in the past decade. Indeed, IoT-based solutions are poised to transform how we keep people safe and healthy especially as the demand for solutions to lower healthcare costs increases in the coming years. However, the heterogeneity of the things that can be connected in such environments makes interoperability among them a challenging problem. Moreover, the observations produced by these things are made available with various vocabularies and data formats. This heterogeneity prevents generic solutions from being adopted on a global scale and makes difficult to share and reuse data for other purposes than those for which they were initially set up. In this book chapter, we provide an overview of the different solutions from both technical and semantic perspectives that have been used recently to tackle the interoperability issue in such IoT environments and especially in healthcare domain. We also present an overview of semantic middleware solutions that have combined the technical and semantic techniques for a complete interoperable solution.
Highlights
With the evolution of smart connected devices in the last decades, the world keeps asking “How smart will the Internet of Things be?”
We have identified the different types of middleware for intelligent environments that have been classified as follows: Application-specific, Agent-based, virtual machines (VMs)-based, tuple-spaces, databaseoriented, Service-oriented architecture and Message-oriented Middleware
In this book chapter we have presented several paradigms used to answer these challenges
Summary
With the evolution of smart connected devices in the last decades, the world keeps asking “How smart will the Internet of Things be?”. We all know that sensors are already embedded in all sorts of objects, machines, and things and that many of those sensors are communicating with other machines over the Internet. IoT is a reality today, and its power on improving the quality of life and business is quite remarkable. In this context, building IoT-based healthcare applications provides the possibility to improve people lives. The proliferation of ad-hoc and specific healthcare products, sensors and applications pose significant challenges about the complexity of designing and managing such systems, to the heterogeneity of the generated data, to the scalability, and the flexibility of the system to support the integration of highly distributed and heterogeneous data and knowledge sources
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
