par Le Borgne, Yann-Aël 
;Bontempi, Gianluca
Référence Intelligent Sensor Networks, The Integration of Sensor Networks, Signal Processing and Machine Learning, CRC Press, Boca Raton, Ed. 1, page (153-180)
Publication Publié, 2012
;Bontempi, Gianluca Référence Intelligent Sensor Networks, The Integration of Sensor Networks, Signal Processing and Machine Learning, CRC Press, Boca Raton, Ed. 1, page (153-180)
Publication Publié, 2012
Partie d'ouvrage collectif
| Résumé : | Most sensor network applications aim at monitoring the spatiotemporal evolution of physical quantities, such as temperature, light, or chemicals, in an environment. In these applications, low-resources sensor nodes are deployed and programmed to collect measurements at a predefined sampling frequency. Measurements are then routed out of the network to a network node with higher resources, commonly referred to as base station or sink, where the spatiotemporal evolution of the quantities of interest can be monitored. |
