Scalability of location sensor data fusion

Tom Pfeifer; Kieran Sullivan; Mícheál Ó Foghlú

doi:10.1109/LCN.2006.322171

Scalability of location sensor data fusion

Tom Pfeifer, Kieran Sullivan, Mícheál Ó Foghlú

Department of Computing and Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006
Pages	565-566
Number of pages	2
DOIs	https://doi.org/10.1109/LCN.2006.322171
Publication status	Published - 2006
Event	31st Annual IEEE Conference on Local Computer Networks, LCN 2006 - Tampa, FL, United States Duration: 14 Nov 2006 → 16 Nov 2006

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN

Conference

Conference	31st Annual IEEE Conference on Local Computer Networks, LCN 2006
Country/Territory	United States
City	Tampa, FL
Period	14/11/2006 → 16/11/2006

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10.1109/LCN.2006.322171

Cite this

@inproceedings{b83f459890af4fbf9b557418a971738c,

title = "Scalability of location sensor data fusion",

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.",

author = "Tom Pfeifer and Kieran Sullivan and Foghl{\'u}, {M{\'i}che{\'a}l {\'O}}",

year = "2006",

doi = "10.1109/LCN.2006.322171",

language = "English",

isbn = "1424404185",

series = "Proceedings - Conference on Local Computer Networks, LCN",

pages = "565--566",

booktitle = "Proceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006",

note = "null ; Conference date: 14-11-2006 Through 16-11-2006",

}

Pfeifer, T, Sullivan, K & Foghlú, MÓ 2006, Scalability of location sensor data fusion. in Proceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006., 4116618, Proceedings - Conference on Local Computer Networks, LCN, pp. 565-566, 31st Annual IEEE Conference on Local Computer Networks, LCN 2006, Tampa, FL, United States, 14/11/2006. https://doi.org/10.1109/LCN.2006.322171

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T1 - Scalability of location sensor data fusion

AU - Pfeifer, Tom

AU - Sullivan, Kieran

AU - Foghlú, Mícheál Ó

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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U2 - 10.1109/LCN.2006.322171

DO - 10.1109/LCN.2006.322171

M3 - Conference contribution

AN - SCOPUS:46149084209

SN - 1424404185

SN - 9781424404186

T3 - Proceedings - Conference on Local Computer Networks, LCN

SP - 565

EP - 566

BT - Proceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006

Y2 - 14 November 2006 through 16 November 2006

ER -

Scalability of location sensor data fusion

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