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Sensing and Filtering Surrounding Data: The PERSEND Approach

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2954))

Abstract

In the mobile computing area, short-range wireless communication technologies make it possible to envision direct interactions between mobile devices. In the scope of data access, devices can now be considered as both data providers and data consumers. Thus, each device can be provided with a remote access to data its neighbours agree to share. Such a service enables applications to consult a set of data providers which dynamically evolves according to the mobility of the neighbouring devices. The set of data sources an application may access by this way is therefore representative of its physical neighbourhood. In this context, we propose to design a tool making possible the continuous consultation of neighbouring shared data. We present, in this paper, the PERSEND system we develop in this scope. Based on relational databases systems, PERSEND enables applications to define continuous queries over neighbouring data.

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© 2004 Springer-Verlag Berlin Heidelberg

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Touzet, D., Weis, F., Banâtre, M. (2004). Sensing and Filtering Surrounding Data: The PERSEND Approach. In: Crestani, F., Dunlop, M., Mizzaro, S. (eds) Mobile and Ubiquitous Information Access. MUIA 2003. Lecture Notes in Computer Science, vol 2954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24641-1_21

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  • DOI: https://doi.org/10.1007/978-3-540-24641-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21003-0

  • Online ISBN: 978-3-540-24641-1

  • eBook Packages: Springer Book Archive

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