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

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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)

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.

Suggested Citation

  • Ricardo S. Alonso & Dante I. Tapia & Juan M. Corchado, 2011. "SYLPH: A Platform for Integrating Heterogeneous Wireless Sensor Networks in Ambient Intelligence Systems," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 3(2), pages 1-15, April.
    • Handle: RePEc:igg:jaci00:v:3:y:2011:i:2:p:1-15
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