DocumentCode
812308
Title
Cooperative Bayesian Self-Tracking for Wireless Networks
Author
Wymeersch, Henk ; Ferner, Ulric ; Win, Moe Z.
Author_Institution
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA
Volume
12
Issue
7
fYear
2008
fDate
7/1/2008 12:00:00 AM
Firstpage
505
Lastpage
507
Abstract
Self-tracking of mobile nodes in wireless networks has the potential to revolutionize the wireless communications industry. This letter presents a cooperative self-tracking algorithm for mobile nodes in wireless networks. The presented algorithm is fully distributed and cooperative. It is derived using network factor graphs (Net-FGs) and results in the sum-product algorithm over a wireless network (SPAWN). Numerical results show that it is robust and can significantly outperform conventional non- cooperative self-tracking techniques.
Keywords
belief networks; cooperative systems; mobile communication; cooperative Bayesian self-tracking; cooperative self-tracking algorithm; mobile nodes; network factor graphs; sum-product algorithm; wireless networks; Bayesian methods; Communication industry; Probability density function; Robustness; Signal processing; Sum product algorithm; Time measurement; Wireless communication; Wireless networks;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2008.080419
Filename
4570453
Link To Document