DocumentCode
3396730
Title
On Proximity-Based Range-Free Node Localisation in Wireless Sensor Networks
Author
Ristic, Branko ; Morelande, Mark ; Farina, Alfonso ; Dulman, S.O.
Author_Institution
ISR Div., DSTO, Melbourne, Vic.
fYear
2006
fDate
10-13 July 2006
Firstpage
1
Lastpage
8
Abstract
A new centroid formula for range-free sensor node location estimation using the proximity anchor positions is proposed. A detailed statistical analysis of the estimator is presented in one-dimension, taking into account the boundary conditions. The estimator is optimal in the minimum-mean square error sense for the one-dimensional case and outperforms the averaging centroid formula for N>2, where N is the number of proximity anchors
Keywords
least mean squares methods; statistical analysis; wireless sensor networks; boundary condition; centroid formula; minimum-mean square error; proximity anchor position; range-free sensor node location estimation; statistical analysis; wireless sensor network; Australia; Biomedical monitoring; Boundary conditions; Broadcasting; Costs; Global Positioning System; Peer to peer computing; Sensor systems; Statistical analysis; Wireless sensor networks; Wireless sensor networks; centroid formula; range-free node localisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2006 9th International Conference on
Conference_Location
Florence
Print_ISBN
1-4244-0953-5
Electronic_ISBN
0-9721844-6-5
Type
conf
DOI
10.1109/ICIF.2006.301734
Filename
4086020
Link To Document