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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 565604, 13 pages
http://dx.doi.org/10.1155/2012/565604
Research Article

An Adaptive Opportunistic Network Coding Mechanism in Wireless Multimedia Sensor Networks

1Key Laboratory of Intelligent Perception and System for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094, China
2State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210093, China
3Department of Computer Science and Technology, Nanjing University of Technology, Nanjing 210009, China

Received 5 September 2012; Accepted 21 November 2012

Academic Editor: Ruchuan Wang

Copyright © 2012 Hang Shen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The network coding technique is promising for improving the performance of video communication in wireless multimedia sensor networks. However, some special characteristics of existing wireless network coding mechanisms degrade the performance of video data delivery. This work begins with a thorough investigation and understanding of the performance limitations of existing wireless network coding mechanisms. On this basis, we propose an Adaptive Opportunistic Network Coding mechanism (AONC) to improve the transmission quality of video stream in wireless multimedia sensor networks. First, we propose a novel asymmetric coding method to process the video data of different lengths. The aim is to improve data exchange gain. Second, we design an opportunistic forwarding strategy based on dynamic priority to ensure that packets have a better chance to be coded and transmitted, thus achieving much higher throughput. Finally, we present a traffic-aware data scheduling algorithm, working together with the above network coding mechanism, to reduce the loss of potential coding opportunities. Our simulation results demonstrate that, compared with the existing typical network coding mechanisms, AONC can greatly enhance video transmission quality and efficiently utilize bandwidth and energy resources.