Paper Info
Title
Cooperative weighted centroid localization for cognitive radio networks
Abstract
Localization of primary users (PUs) is a feature that can be very helpful for all the functional tasks of a cognitive radio (CR) network. Among the possible algorithms, weighted centroid localization (WCL) appears as the best candidate being a simple and robust range free localization technique that does not require any knowledge on the PU signal and on the radio environment parameters. We analyze the adoption of different weighting strategies considering in particular the dependence of the root mean square error (RMSE) on the position of the PU within the area considered. Numerical results show that weighting strategies that emphasize the difference between higher and lower weights are more robust to situations in which the PU moves toward the side of the area. Two secondary user (SU) selection strategies are also proposed to alleviate the border and noisy measurements effects in harsh propagation environments.
Year
DOI
Venue
2012
10.1109/ISCIT.2012.6380942
ISCIT
Keywords
Field
DocType
cognitive radio,cooperative communication,mean square error methods,noise measurement,radiowave propagation,cr network,pu signal,rmse,su selection strategy,wcl,cognitive radio network,cooperative weighted centroid localization,harsh propagation environment,noisy measurement effect,primary user,radio environment parameter,robust range free localization technique,root mean square error,secondary user selection,weighting strategy,cognitive radios,localization,wireless communications
Radiowave propagation,Weighting,Telecommunications,Wireless,Noise measurement,Centroid localization,Computer science,Mean squared error,Algorithm,Real-time computing,Cognitive radio
Conference
ISBN
Citations 
PageRank 
978-1-4673-1155-7
17
1.11
References 
Authors
6
4
Name
Order
Citations
PageRank
Andrea Mariani11659.14
Kandeepan, S.2342.51
Andrea Giorgetti311010.93
Marco Chiani41869134.93