DocumentCode
2397523
Title
A Monte Carlo Method for Mobile Target Counting
Author
Wu, Dengyuan ; Cheng, Xiuzhen ; Chen, Dechang ; Cheng, Wei ; Chen, Biao ; Zhao, Wei
Author_Institution
Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA
fYear
2011
fDate
20-24 June 2011
Firstpage
750
Lastpage
759
Abstract
This paper addresses the problem of target counting based on the Monte Carlo simulation. We rely on an Accept-Reject process to guide the placement of virtual targets in a virtual sensor field, which has exactly the same sensor layout as the real one. The objective of this construction is to generate a virtual target energy landscape whose shape is close enough to an energy landscape estimated from the real sensor readings. Based on the number of virtual targets placed on the virtual field and the total virtual and real target energy volumes, the number of real targets can be estimated. We consider both single-epoch and multi-epoch sensor readings and our theoretical analysis indicates that by exploiting the information from multiple epochs, our approach yields a target count that approximately converges to the true target count when the number of epochs is large enough. Extensive comparison based simulation study has been performed and the results verify the effectiveness of our target counting algorithms.
Keywords
Monte Carlo methods; wireless sensor networks; Monte Carlo method; accept-reject process; mobile target counting; multiepoch sensor readings; single epoch sensor readings; virtual sensor field; virtual target energy landscape; Accuracy; Approximation algorithms; Clustering algorithms; Mobile communication; Monte Carlo methods; Sensors; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems (ICDCS), 2011 31st International Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6927
Print_ISBN
978-1-61284-384-1
Electronic_ISBN
1063-6927
Type
conf
DOI
10.1109/ICDCS.2011.90
Filename
5961727
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