Scalability of location sensor data fusion

Tom Pfeifer, Kieran Sullivan, Mícheál Ó Foghlú

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Positioning, as one of the prime components of Context, has been a driving factor in the development of ubiquitous computing applications throughout the past two decades. Based on the Redundant Positioning architecture, this paper discusses the issues of suitability and scalability of algorithms for sensor data fusion from analytical and practical perspectives.

Original languageEnglish
Title of host publicationProceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006
Pages565-566
Number of pages2
DOIs
Publication statusPublished - 2006
Event31st Annual IEEE Conference on Local Computer Networks, LCN 2006 - Tampa, FL, United States
Duration: 14 Nov 200616 Nov 2006

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference31st Annual IEEE Conference on Local Computer Networks, LCN 2006
Country/TerritoryUnited States
CityTampa, FL
Period14/11/200616/11/2006

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