DocumentCode
2096723
Title
Collaborative data fusion tracking in sensor networks using Monte Carlo methods
Author
Wong, Y.F. ; Wu, J.K. ; Ngoh, L.H. ; Wong, W.C.
Author_Institution
Inst. for Infocomm Res., Singapore
fYear
2004
fDate
16-18 Nov. 2004
Firstpage
563
Lastpage
564
Abstract
The multi-modality nature of sensor networks and their potentially large-scale deployment have generated highly dimensional network data. This paper proposes a hierarchical collaborative data fusion scheme based on particle filters for cross-sensor fusion and cross-modality fusion for target tracking applications.
Keywords
Monte Carlo methods; distributed sensors; sensor fusion; target tracking; Monte Carlo methods; cross-modality fusion; cross-sensor fusion; dimensional network data; hierarchical collaborative data fusion; particle filters; sensor network multimodality; target tracking; Collaboration; Collaborative work; Computer simulation; Fusion power generation; Intelligent networks; Large-scale systems; Multimodal sensors; Particle filters; Sensor fusion; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks, 2004. 29th Annual IEEE International Conference on
ISSN
0742-1303
Print_ISBN
0-7695-2260-2
Type
conf
DOI
10.1109/LCN.2004.34
Filename
1367282
Link To Document