A methodology for interoperability and information management in smart home environments
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Papetti, Alessandra; Peruzzini, Margherita; Capitanelli, Andrea; Germani, Michele
Institution: Università Politecnica delle Marche, Italy
The environmental impact reduction and the growing world energy demand have generated a strong interest to smart home all over the world. Indeed, thanks to the recent developments in Information and Communication Technologies (ICT) and Internet of Things (IoT), it is possible to create smart home system by making several objects installed at home cooperate each other and offering new services to end users. However, smart home system design is not a trivial task: the increasing embedded intelligence of smart devices is generating a huge quantity of data, which needs to be properly structured and managed, and the related services must be designed and personalized according to the specific users’ needs. This paper defines a methodology to support smart home system design and improve smart home information management by selection, aggregation and classification of relevant data, and their correlation to smart home services. The methodology implementation shows how it can support the design of services able to bring benefits to the subjects involved. It also represents the first step towards the creation of a standard by data management and device interoperability for smart home systems’ design.