Energy efficient sensing for managing context and privacy on smartphonesTweet
Book Title: First Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2013) co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia.
Date: October 21, 2013
Abstract: Mobile devices can better manage user privacy if they continuously model a user's context, but doing so can result in high energy consumption. We describe an approach which will reduce energy costs by reasoning about what context information is known, what additional information is needed, how accurate it must be and how to efficiently acquire it. We model the sensors and their data properties, accuracy levels and energy costs in a knowledge base supported by an ontology. We describe a method to manage privacy on smartphones in an energy efficient manner by selecting the best choice sensor for maintaining the user's context information. Sensor selection is done by COntext MANager miDDleware (COMANDD), which maintains a context model and answers queries about it. Context requests are served by capability matching, accuracy level matching and selection of lowest energy cost sensor for reporting context data. A context change detection function is used to decide when the context should be updated.
Publisher: CEUR Workshop Proceedings
Note: held in conjunction with the 2013 International Semantic Web Conference
Google Scholar: search
Number of downloads: 644
Available for download as