DocumentCode
2977076
Title
A New Receiver Placement Scheme Using Delaunay Refinement-Based Triangulation
Author
Basheer, Mohammed Rana ; Jagannathan, S.
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear
2010
fDate
18-21 April 2010
Firstpage
1
Lastpage
6
Abstract
In this paper, a sub-optimal solution to the receiver placement and number of receiver determination problem is introduced. To achieve this overall goal, first, localization error for a received signal strength indicator (RSSI)-based N-receiver system localizing a transmitter is estimated. Subsequently, this estimator error along with the 2D-tessellation techniques such as Delaunay refinement are used to position candidate receivers not only to minimize their number needed to meet the location error threshold but also to reduce the dilution of localization accuracy due to the layout of receivers. Rigorous mathematical analysis indicates that the receiver count generated by our Delaunay refinement-based sub-optimal solution using triangular tiles is indeed bounded from the optimal count by a constant which in turn depends upon the workspace layout. Finally, the sub-optimal scheme is demonstrated by using experimental data.
Keywords
mathematical analysis; radio receivers; radio transmitters; 2D-tessellation techniques; Delaunay refinement-based suboptimal solution; Delaunay refinement-based triangulation; RSSI-based N-receiver system; candidate receivers positioning; estimator error; location error threshold; mathematical analysis; received signal strength indicator; receiver determination problem; receiver placement scheme; transmitter; Cameras; Communications Society; Equations; Fading; Mobile robots; Position measurement; Robot vision systems; Tiles; Transmitters; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2010 IEEE
Conference_Location
Sydney, NSW
ISSN
1525-3511
Print_ISBN
978-1-4244-6396-1
Type
conf
DOI
10.1109/WCNC.2010.5506702
Filename
5506702
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