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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 154602, 9 pages
Research Article

A Camera Nodes Correlation Model Based on 3D Sensing in Wireless Multimedia Sensor Networks

Chong Han,1 Lijuan Sun,1,2,3 Fu Xiao,1,2,3,4 Jian Guo,1,2,3 and Ruchuan Wang1,2,3,4

1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
3Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Jiangsu Province, Nanjing 210003, China
4Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China

Received 20 July 2012; Revised 21 September 2012; Accepted 26 September 2012

Academic Editor: LiuSheng Huang

Copyright © 2012 Chong Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In wireless multimedia sensor networks, multiple camera sensor nodes generally are used for gaining enhanced observations of a certain area of interest. This brings on the visual information retrieved from adjacent camera nodes usually exhibits high levels of correlation. In this paper, first, based on the analysis of 3D directional sensing model of camera sensor nodes, a correlation model is proposed by measuring the intersection area of multiple camera nodes’ field of views. In this model, there is a asymmetrical relationship of the correlation between two camera nodes. Then, to farthest eliminate the data redundancy and use the node collaboration characteristic of wireless (multimedia) sensor networks, two kinds of cluster structure, camera sensor nodes cluster, and common sensor nodes cluster are established to cooperate on image processing and transmission tasks. A set of experiments are performed to investigate the proposed correlation coefficient. Further simulations based on a sample of monitoring a crossing by three correlative camera nodes show that the proposed network topology and image fusion and transmission scheme released the pressure of camera node greatly and reduce the network energy consumption of communication of the whole network efficiently.