DocumentCode :
3264222
Title :
A comparison of MDS-MAP and non-linear regression
Author :
Ellis, Carl ; Hazas, Mike
Author_Institution :
Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
fYear :
2010
fDate :
15-17 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
For locating a set of stationary devices, algorithms such as MDS-MAP have been favoured by the sensor network community. This is generally because of their low computational complexity. Whilst comparisons for complexity and performance have been done for other algorithms, non-linear regression (NLR) has been neglected. The authors find that it is not much more expensive than MDS-MAP, yet can yield significantly better accuracy for sensor network localisation.
Keywords :
computational complexity; regression analysis; wireless sensor networks; MDS-MAP; computational complexity; nonlinear regression; sensor network community; sensor network localisation; stationary devices; Algorithm design and analysis; Complexity theory; Coordinate measuring machines; Measurement uncertainty; Optimization; Prediction algorithms; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4244-5862-2
Electronic_ISBN :
978-1-4244-5865-3
Type :
conf
DOI :
10.1109/IPIN.2010.5647200
Filename :
5647200
Link To Document :
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