SYLPH: A Platform for Integrating Heterogeneous Wireless Sensor Networks in Ambient Intelligence Systems

Ricardo S. Alonso, Dante I. Tapia and Juan M. Corchado
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Ricardo S. Alonso: University of Salamanca, Spain
Dante I. Tapia: University of Salamanca, Spain
Juan M. Corchado: University of Salamanca, Spain

International Journal of Ambient Computing and Intelligence (IJACI), 2011, vol. 3, issue 2, 1-15

Abstract: The significance that Ambient Intelligence (AmI) has acquired in recent years requires the development of innovative solutions. In this sense, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. The use of context-aware technologies is an essential aspect in these developments in order to perceive stimuli from the context and react upon it autonomously. This paper presents SYLPH, a novel platform that defines a method for integrating dynamic and self-adaptable heterogeneous Wireless Sensor Networks (WSN). This approach facilitates the inclusion of context-aware capabilities when developing intelligent ubiquitous systems, where functionalities can communicate in a distributed way. A WSN infrastructure has been deployed for testing and evaluating this platform. Preliminary results and conclusions are presented in this paper.

Date: 2011
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