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An IoT based Intelligent Building Management System for Ambient Assisted Living
FORTH ICS, Greece.
Converge SA, Greece.
FORTH ICS, Greece.
Converge SA, Greece.
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2015 (English)In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP, IEEE , 2015, 246-252 p.Conference paper (Refereed)
Abstract [en]

Ambient Assisted Living (AAL) describes an ICT based environment that exposes personalized and context-aware intelligent services, thus creating an appropriate experience to the end user to support independent living and improvement of the everyday quality of life of both healthy elderly and disabled people. The social and economic impact of AAL systems have boosted the research activities that combined with the advantages of enabling technologies such as Wireless Sensor Networks (WSNs) and Internet of Things (IoT) can greatly improve the performance and the efficiency of such systems. Sensors and actuators inside buildings can create an intelligent sensing environments that help gather realtime data for the patients, monitor their vital signs and identify abnormal situations that need medical attention. AAL applications might be life critical and therefore have very strict requirements for their performance with respect to the reliability of the devices, the ability of the system to gather data from heterogeneous devices, the timeliness of the data transfer and their trustworthiness. This work presents the functional architecture of SOrBet (Marie Curie IAPP project) that provides a framework for interconnecting efficiently smart devices, equipping them with intelligence that helps automating many of the everyday activities of the inhabitants. SOrBet is a paradigm shift of traditional AAL systems based on a hybrid architecture, including both distributed and centralized functionalities, extensible, self-organising, robust and secure, built on the concept of "reliability by design", thus being capable of meeting the strict Quality of Service (QoS) requirements of demanding applications such as AAL.

Place, publisher, year, edition, pages
IEEE , 2015. 246-252 p.
National Category
Information Systems
URN: urn:nbn:se:liu:diva-131542DOI: 10.1109/ICCW.2015.7247186ISI: 000380459900041ISBN: 978-1-4673-6305-1OAI: diva2:974166
IEEE International Conference on Communication Workshop
Available from: 2016-09-25 Created: 2016-09-23 Last updated: 2016-09-25

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Angelakis, Vangelis
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Communications and Transport SystemsFaculty of Science & Engineering
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