Using situation lattices in sensor analysis

Juan Ye, Lorcan Coyle, Simon Andrew Dobson, Paddy Nixon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)
1 Downloads (Pure)

Abstract

Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extract the semantically relevant interpretations, or "situations", from the flood of context data collected by the sensors. We describe mathematical structures called situation lattices that can be used to address these two problems simultaneously, allowing designers to both design and refine situation identification whilst offering insights into the design of sensor suites. We validate the accuracy and efficiency of our technique against a third-party data set and demonstrate how it can be used to evaluate sensor suite designs.

Original languageEnglish
Title of host publicationIEEE International Conference on Pervasive Computing and Communications, 2009 (PERCOM)
Place of PublicationNew York
PublisherIEEE Computer Society
Pages1-11
Number of pages11
ISBN (Print)978-1-4244-3304-9
DOIs
Publication statusPublished - Mar 2009
Event2009 IEEE International Conference on Pervasive Computing and Communications - Galveston, TX, United States
Duration: 9 Mar 200913 Mar 2009

Conference

Conference2009 IEEE International Conference on Pervasive Computing and Communications
Country/TerritoryUnited States
CityGalveston, TX
Period9/03/0913/03/09

Keywords

  • Context

Fingerprint

Dive into the research topics of 'Using situation lattices in sensor analysis'. Together they form a unique fingerprint.

Cite this