A novel clustering mechanism based on image-oriented correlation coefficient for wireless multimedia sensor networks

Authors:
Rong Wu;Ruchuan Wang;Chao Sha;Liyang Qian
Affiliations:
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China;College of Comp., Nanjing Univ. of Posts and Telecomm., China,Jiangsu High Techn. Res. Key Lab. for Wireless Sensor Networks, Nanjing, China,Key Lab of Broadband Wireless Comm. and Sensor Network ...;College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China;College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China
Venue:
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Year:
2012

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Abstract

Wireless multimedia sensor networks consist of unattended multimedia nodes with limited storage, energy and computation and communication capabilities. And energy is the most crucial resource for nodes. Clustering technique has been proven to be an effective approach for data-gathering in wireless multimedia sensor networks. Therefore, this paper presents a novel clustering mechanism based on image-oriented correlation coefficient to reduce redundancy transmission so as to conserve network energy. And the aim is achieved through taking advantage of the correlation coefficient of captured images and RSSI value of nodes to avoid excessive computation and transmission. Moreover, a new cluster header election method is also presented to make the network's load balance on energy. The simulation results show that the correlation coefficient threshold greatly affects the number and average size of clusters. And compared with another clustering algorithm based on overlapping FoVs, our clustering mechanism is more effective in prolonging network lifetime.