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1 CEA-LETI - Laboratoire d-Electronique et des Technologies de l-Information

Abstract : Energy optimisation in Wireless Sensor Networks WSNs is traditionally done either at the sensor node level or at the network level. To obtain even more energy savings , the final application must be considered. Control theory offers promising solutions to tackle this challenge. This paper details an implementation of a control strategy to min-imise energy consumption of a WSN, while ensuring the application Quality of Service QoS. The application QoS is expressed with the sampling period for sensor nodes and a minimum number of samples that must be available at the application level at each sampling time. With a Model Pre-dictive Control strategy, the lifetime of the WSN is doubled compared to the basic case. The control strategy has been implemented and evaluated on a real test-bed, formed of heterogeneous sensor nodes, thanks to the LINC coordination middleware.

Keywords : Energy Management Middleware Implementation Model Predictive Control





Autor: Maria Vergara-Gallego - Olesia Mokrenko - Maxime Louvel - Suzanne Lesecq - François Pacull -

Fuente: https://hal.archives-ouvertes.fr/



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