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RESEARCH PRODUCT

Multi-sensor Fusion through Adaptive Bayesian Networks

Giuseppe Lo ReSalvatore GaglioAlessandra De PaolaMarco Ortolani

subject

Ambient intelligenceComputer sciencebusiness.industryMode (statistics)Ambient Intelligence Bayesian Networks Multi-objective optimization.Bayesian networkMachine learningcomputer.software_genreMulti-objective optimizationVariable-order Bayesian networkNoise (video)Artificial intelligenceData miningbusinesscomputerEnergy (signal processing)

description

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.

yearjournalcountryeditionlanguage
2011-01-01
https://doi.org/10.1007/978-3-642-23954-0_33