NDLI: SYLPH: An Ambient Intelligence based platform for integrating heterogeneous Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Tapia, D.I. Alonso, R.S. De la Prieta, F. Zato, C. Rodriguez, S. Corchado, E. Bajo, J. Corchado, J.M.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Automatic, University of Salamanca. Plaza de la Merced, S/N, 37008, Salamanca, Spain (Tapia, D.I.; Alonso, R.S.; De la Prieta, F.; Zato, C.; Rodriguez, S.) \|\| Department of Computer Science and Automatic, University of Salamanca, Plaza de la Merced, S/N, 37008, Salamanca, Spain (Corchado, E.; Bajo, J.; Corchado, J.M.)
Abstract	The significance that Ambient Intelligence (AmI) has acquired in recent years requires the development of innovative solutions. Nonetheless, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. In this regard, the use of context-aware technologies is an essential aspect in these developments to perceive stimuli from the context and react upon it autonomously. This work presents a novel platform that defines a method for integrating dynamic and self-adaptable heterogeneous Wireless Sensor Networks (WSNs). This approach facilitates the inclusion of context-aware capabilities when developing intelligent ubiquitous systems, where functionalities can communicate in a distributed way. Furthermore, the information obtained must be managed by intelligent and self-adaptable technologies to provide an adequate interaction between the users and their environment. Agents and Multi-Agent Systems are one of these technologies. The agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing dynamic and distributed systems based on AmI. This way, the integration of the platform with a Service-Oriented Multi-Agent architecture is proposed. Finally, conclusions and future work are presented.
Starting Page	1
Ending Page	8
File Size	242059
Page Count	8
File Format	PDF
ISBN	9781424469192
ISSN	10987584
e-ISBN	9781424469215
DOI	10.1109/FUZZY.2010.5584145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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