Energy and distortion analysis of video compression schemes for Wireless Video Sensor Networks
作者： Saeed Ullah , Junaid Jameel Ahmad , Junaid Khalid , Syed Ali Khayam
DOI: 10.1109/MILCOM.2011.6127779
关键词: Transform coding 、 Video processing 、 Encoder 、 Efficient energy use 、 Wireless sensor network 、 Real-time computing 、 Key distribution in wireless sensor networks 、 Image sensor 、 Data compression 、 Overhead (computing) 、 Testbed 、 Distortion 、 Video tracking 、 Computer science
摘要: Wireless Video Sensor Networks (WVSNs) - a type of WSNs comprise sensor nodes that can capture, process and communicate video frames. The battery powered have limited hardware resources while processing communication are resource intensive tasks i.e., require high-end processors, large memory bandwidth. encoding is popular method used to reduce the overhead but being an inherently complex it results in higher computational energy-drain on nodes. This establishes interesting computation-communication tradeoff for energy efficient (encoding transmission) WVSNs. In this paper, we study under Intel-imote2 based single-hop multi-hop networks testbed by empirically evaluating selected implementations MPEG-4 (Part 2) H.264/AVC encoders. analysis has been carried out characterize performance encoders terms efficiency, compression efficiency distortion. experimental show WVSNs, over H.264 whilst MPEG-4.
uni-konstanz.de
sci-hub.se 参考文章(10)
Itu-T and Iso Iec Jtc, Advanced video coding for generic audiovisual services ITU-T Recommendation H.264 and ISO/IEC 14496-10 (MPEG-4 AVC). ,(2010)
Saikat Ray, David Starobinski, Jeffrey B. Carruthers, Performance of wireless networks with hidden nodes: a queuing-theoretic analysis Computer Communications. ,vol. 28, pp. 1179- 1192 ,(2005) , 10.1016/J.COMCOM.2004.07.024
Junaid Jameel Ahmad, Hassan Aqeel Khan, Syed Ali Khayam, Energy efficient video compression for wireless sensor networks conference on information sciences and systems. pp. 629- 634 ,(2009) , 10.1109/CISS.2009.5054795
T. Wiegand, H. Schwarz, A. Joch, F. Kossentini, G.J. Sullivan, Rate-constrained coder control and comparison of video coding standards IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 13, pp. 688- 703 ,(2003) , 10.1109/TCSVT.2003.815168
Tyrone Tai-On Kwok, Yu-Kwong Kwok, Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing international conference on parallel processing. pp. 43- 50 ,(2006) , 10.1109/ICPPW.2006.30
Ian F. Akyildiz, Tommaso Melodia, Kaushik R. Chowdhury, A survey on wireless multimedia sensor networks Computer Networks. ,vol. 51, pp. 921- 960 ,(2007) , 10.1016/J.COMNET.2006.10.002
Zhihai He, Wenye Cheng, Xi Chen, Energy Minimization of Portable Video Communication Devices Based on Power-Rate-Distortion Optimization IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 18, pp. 596- 608 ,(2008) , 10.1109/TCSVT.2008.918802
T. Wiegand, G.J. Sullivan, G. Bjontegaard, A. Luthra, Overview of the H.264/AVC video coding standard IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 13, pp. 560- 576 ,(2003) , 10.1109/TCSVT.2003.815165
Dong-U Lee, Hyungjin Kim, M. Rahimi, D. Estrin, J.D. Villasenor, Energy-Efficient Image Compression for Resource-Constrained Platforms IEEE Transactions on Image Processing. ,vol. 18, pp. 2100- 2113 ,(2009) , 10.1109/TIP.2009.2022438
Iain E. G. Richardson, H.264 and MPEG-4 Video Compression John Wiley & Sons, Ltd. ,(2003) , 10.1002/0470869615