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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 1, Pages 120-135, DOI: https://doi.org/10.21307/ijssis-2017-531
License : (CC BY-NC-ND 4.0)
Received Date : 08-October-2012 / Accepted: 06-June-2013 / Published Online: 20-February-2013
The objective of this paper is to study the image communication behavior of a wireless video sensor, and analyze its performance under resource constrained wireless multimedia sensor networks. Energy consumption and rate distortion model of DCT-based coded image compression and transmission is developed. Based on energy consumption and rate distortion model proposed, resource allocation is optimized with limited energy and bandwidth. Number of DCT coefficient and step size of quantization table is adapted according to the activity of monitoring scene, and then the energy consumption will be minimized. Simulations results are conducted to show the performance of our work. The proposed scheme dramatically reduces image compression and transmission energy consumption under expected image distortion and transmission rate.
 Akyildiz I F, Melodia T, Chowdhury K R. “Wireless multimedia sensor network: a survey”, IEEE Transactions on Wireless Communication, Vol.14, no.6, 2007, pp. 32-39.
 Muhammad F. Sabir, Hamid Rahim Sheikh, Robert W. Heath, Jr., and Alan C. Bovik. “A Joint Source-Channel Distortion Model for JPEG Compressed Images”, IEEE Transactions on Image Processing, Vol.15, no.6, 2006, pp. 1349-1364.
Scott Pudlewski, Tommaso Melodia. “A distortion-minimizing rate controller for wireless multimedia sensor networks”, Computer Communications, Vol.33, 2010, pp. 1380-1390.
 Zhihai He, Wenye Cheng, and Xi Chen. “Energy minimization of portable video communication devices based on power-rate-distortion optimization”, IEEE Transactions on Circuit and Systems for Video Technology, Vol.18, no.5, 2008, pp. 596-608.
 Zhao Sun, Xi Chen, and Zhihai He. “Adaptive Critic Design for Energy Minimization of Portable Video Communication Devices”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.20, no.1, 2010, pp. 27-37.
 Zhenhua Tang, Tuanfa Qin , and Wenyu Liu. “Energy-Minimized Adaptive Resource Allocation for Image Transmission over Wireless Channel”, Proceedings of International Conference on Intelligent Control and Information Processing, IEEE, 2010, pp. 398-403.
 Mammeri A, Khoumsi A, Ziou D, et al. “Energy-aware JPEG for visual sensor networks”, Proceedings of The 2008 Maghrebian Conference on Software Engineering and Artificial Intelligence, IEEE, 2008, pp. 1-7.
 Mammeri A, Khoumsi A, Ziou D, et al. “Modeling and adapting JPEG to the energy requirements of visual sensor networks”, Proceedings of 2008 International IEEE Workshop on Sensor Networks, 2008, pp. 1-6.
 Mammeri A, Khoumsi A, Ziou D, et al. “Energy efficient transmission scheme of JPEG images over VSN”, Proceedings of 2008 International IEEE Workshop on Performance and Management of Wireless and Mobile Networks, 2008, pp. 639-647.
 Z. He, J. Cai, and C. W. Chen. “Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding”, IEEE Transaction on Circuit and Systems for Video Technology, Vol.12, no.6, 2002, pp. 511-523.
 Z. He, Y. Liang, L. Chen, I. Ahmad, and D. Wu. “Power-rate-distortion analysis for wireless video communication under energy constraint”, IEEE Transaction on Circuit and Systems for Video Technology, Vol.15, no.5, 2005, pp. 645-658.
 Z. He and D. Wu. “Resource allocation and performance limit analysis of wireless video sensors”, IEEE Transaction on Circuit and Systems for Video Technology, Vol.16, no.5, 2006, pp. 590-599.
 Lee D, Kim H, Tu S, et al. “Energy-efficient image compression on resource-constrained platforms”, IEEE Transaction on Image Processing, Vol.18, no.9, 2009, pp. 2100-2113.