Abstract
Wireless Sensor Networks have attained extensive interest since the last few decades. Especially Wireless Multimedia sensor networks are being used in surveillances, health, traffic monitoring and entertainment where these sensors are deployed at different views for capturing the finer details of a given region. With their extensive use and benefits, they have many issues such as battery life, storage capacity, and bandwidth consumption. The aim of the research paper is to study the existing spatial correlation models in multi view videos and propose an approach which reduces battery consumption by minimizing the compression time of video frames based on the specific correlation model. This paper discusses the novel OPI model that is designed on the basis of correlation between sensor nodes. Experimental results have been derived using OPI model and the results depict that by using this approach, compression time of processed video frames is reduced as compared to the compression time of originally frames.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
What is Wireless Sensor Network, http://zone.ni.com/devzone/cda/tut/p/id/8707
Akyildiz, I.F., Melodia, T., Chowdhury, K.R.: Wireless Multimedia Sensor Networks: Applications and Testbeds. Proceedings of the IEEE 96, 1588–1605 (2008)
Hu, F., Kumar, S.: Multimedia Query with QoS Considerations in Wireless Sensor Networks for Telemedicine. In: Proceedings of International Conference on Internet Multimedia Management Systems (SPIE IT), vol. 5242, pp. 217–227 (2003)
Soro, S., Heinzelman, W.: A survey of Visual Sensor networks. Advances in Multimedia, vol. 2009, Article ID 640386, 21 pages (2009)
Sklavos, N., Touliou, K.: A System Level Analysis of Power Consumption and & Optimizations in 3G Mobile Devices, pp. 217–227 (2007)
Liu, X., Kulkarni, P., Shenoy, P., Ganesan, D.: Snapshot: A Self-Calibration Protocol for Camera Sensor Networks: Broadband Communications, Networks and Systems, pp. 1–10 (2006)
Mehta, V., Sheng, W.: Distributed Calibration of a Camera Sensor Network. In: Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics, pp. 1974–1979 (2009)
Mat, H., Liut, Y.: Correlation Based Video Processing in Video Sensor Networks. In: International Conference on Wireless Networks, Communications and Mobile Computing, vol. 2, pp. 987–992 (2005)
Dagher, J.C., Marcellin, M.W., Neifeld, M.A.: A Method for Coordinating the Distributed Transmission of Imagery. IEEE Transactions on Image Processing 15(7), 1705–1717 (2006)
Dai, R., Akyildiz, I.F.: A Spatial Correlation Model for Visual Information in Wireless Multimedia Sensor Networks. IEEE Transactions on Multimedia 11(6), 1148–1159 (2009)
Vijayakumar, P., Ravichadran, V.: Wireless Sensor Network Issues-An Overview. International Journal of Wireless Networks and Communications 1(1), 17–28 (2009)
Lossycompression, http://www.mathworks.com/matlabcentral/fileexchange/31776-image-compression-based-on-dct
Dufaux, F., Ouaret, M., Ebrahimi, T.: Recent Advances In Multi-View Distributed Video Coding. In: Proceedings of SPIE, vol. 6579 657902, pp. 1–11 (2007)
Puri, R., Majumdar, A., Ramchandran, K.: PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder. IEEE Transactions on Image Processing 16(10), 2436–2447 (2007)
Ahmad, J.J., Khan, H.A., Khayam, S.A.: Energy Efficient Video Compression for Wireless Sensor Networks. In: 43rd Annual Conference on Information Sciences and Systems, pp. 629–634 (2009)
Xiong, Z., Liveris, A.D., Cheng, S.: Distributed Source Coding for Sensor Networks. In: Haykin, S., Liu, K.J.R. (eds.) Handbook on Array Processing and Sensor Networks. Wiley (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zareen, S., Iqbal, K., Anjum, A., Khan, S.A. (2012). Exploiting Multi View Video for Maximizing Lifetime of Wireless Video Sensor Networks. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds) Emerging Trends and Applications in Information Communication Technologies. IMTIC 2012. Communications in Computer and Information Science, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28962-0_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-28962-0_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28961-3
Online ISBN: 978-3-642-28962-0
eBook Packages: Computer ScienceComputer Science (R0)