bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

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

 

Bullet

 

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.

 

 

Buy this article online (it will be send to you in the pdf format by e-mail) or subscribe Sensors & Transducers journal

(12 issues per year plus special issues; 40 % discount for payment IFSA Members):

 

 

Sensors & Transducers journal subscription

450 $ US per year:

 

Buy this article for
14.95 $ US:

 

 
 

 

 
 

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

 

Download <here> the Library Journal Recommendation Form

 

 

Read more about Wireless Sensor Networks

 

 

 

 

 


1999 - 2013 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn