Energy-Driven Reconfiguration of Applications for Wireless Sensor Networks

Author:

Cortellessa Vittorio1,Di Marco Antinisca1,Di Pompeo Daniele1,Gallo Francesco1,Pace Stefano2,Pomante Luigi1,Tiberti Walter1

Affiliation:

1. University of L'Aquila, L'Aquila, Italy

2. Smartly, L'Aquila, Italy

Funder

GAUSS National Research Project funded by the MIUR under the PRIN 2015 program

Publisher

ACM

Reference18 articles.

1. TinyOS Alliance. 2017. TinyOS. (2017). http://tinyos.stanford.edu/tinyos-wiki/index.php/TinyOS_Documentation_Wiki TinyOS Alliance. 2017. TinyOS. (2017). http://tinyos.stanford.edu/tinyos-wiki/index.php/TinyOS_Documentation_Wiki

2. New Generation Sensor Web Enablement

3. David Cemin Marcelo Götz and Carlos Eduardo Pereira. 2014. Dynamically reconfigurable hardware/software mobile agents. Design Automation for Embedded Systems 18 1 (01 Mar 2014). 10.1007/s10617-013-9116-3 David Cemin Marcelo Götz and Carlos Eduardo Pereira. 2014. Dynamically reconfigurable hardware/software mobile agents. Design Automation for Embedded Systems 18 1 (01 Mar 2014). 10.1007/s10617-013-9116-3

4. Vittorio Cortellessa Antinisca Di Marco and Catia Trubiani. 2014. An approach for modeling and detecting software performance antipatterns based on first-order logics. Software and System Modeling 13 1 (2014). 10.1007/s10270-012-0246-z Vittorio Cortellessa Antinisca Di Marco and Catia Trubiani. 2014. An approach for modeling and detecting software performance antipatterns based on first-order logics. Software and System Modeling 13 1 (2014). 10.1007/s10270-012-0246-z

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