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Vol. 154, Issue 7, July 2013, pp. 51-55




Research on Distributed Video Compression Coding Algorithm for Wireless Sensor Networks
1, 2 HU Linna, 2 CAO Ning, 3 SUN Yu

1 Department of Dianguang, Nanjing University of Science & Technology Zijin College, No. 89 Wenlan Road, Xianlin University City, Nanjing, Jiangsu 210046,China

2 Computer & Information College, Hohai University, No. 8, Focheng West Road, Nanjing, Jiangsu 210098, China

3 China Mobile Jiangsu Corporation, No. 8, Dinghuamen Avenue, Nanjing, Jiangsu, 210036, China

1 Tel.: +8615951957966

1 E-mail: hulinna@139.com


Received: 13 May 2013   /Accepted: 19 July 2013   /Published: 31 July 2013

Digital Sensors and Sensor Sysstems


Abstract: The Distributed Video Coding (DVC) which has the feature of simple encoding and complex decoding can solve the problems that occur when Wireless Sensor Networks (WSN) nodes process and compress information in the resource-constrained conditions. Transitional Wyner-Ziv distributed video coding scheme adopting regional unified coding, may lead to the distortion problem of decoding estimation of the intense motion region. Aiming at the limitation of conventional Wyner-Ziv distributed video coding, an improved Wyner-Ziv distributed video coding algorithm which based on region of interest (ROI) extraction is proposed in this paper. The improved algorithm extracts the regions of the Wyner-Ziv frame which are intense motion area and cannot coding and decoding accurately, then compresses based on entropy coding. Simulation results show that the proposed algorithm can reduce the rate and improve the quality of decoded image, at the same time decrease the energy consumption of sensor nodes.


Keywords: Wireless sensor networks (WSN), Distributed video coding (DVC), Wyner-Ziv, Region of interest (ROI), Entropy coding.



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