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Research on Distributed Information Processing in Wireless Multimedia Sensor Networks

Author: DiYongPing
Tutor: LuoWuSheng
School: National University of Defense Science and Technology
Course: Instrument Science and Technology
Keywords: Wireless multimedia sensor networks LBT Image Compression Distributed source coding Distributed Video Coding Turbo codes
CLC: TN919.8
Type: Master's thesis
Year: 2007
Downloads: 360
Quote: 3
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Wireless multimedia sensor networks (WMSNs) is developed on the basis of the traditional wireless sensor networks (WSNs), a new type of sensor network-aware audio, video, image and multimedia information. Compared with only simple bad environmental data collection capabilities of traditional wireless sensor networks, wireless multimedia sensor networks to achieve fine-grained, accurate information on environmental monitoring, has a very broad application prospects in the military, civil, commercial and other fields. Based on the understanding of the broad application prospects for future wireless multimedia sensor networks, especially taking into account in the building of great value in the future in the sea, land and air, day integration battlefield situation-aware system, the paper in the \Research and Development Program \The research progress of several key node in wireless multimedia sensor network system design, MAC protocols, routing protocols, multimedia information processing technology, in-depth analysis of the challenges faced by these key technologies research and directions for future research. 2. Applies a double positive Lapped Transform (LBT) distributed processing algorithms in wireless multimedia sensor networks image. The algorithm uses LBT transformation structure on parallel computing features, the conversion of the different blocks of the image in parallel on different nodes to achieve order to prevent the blocking effect at the same time, transform the two nodes to enhance the correlation between the edge of the image block, traditional zerotree coding algorithm is simplified in order to reduce the complexity of coding and two nodes \The simulation results show that the method can be calculated, the resources are very limited storage node image coding and transmission, and \In the process of analyzing the structure of the algorithm, we propose a node concept and analysis of the data stream, there is a very large value of the method in a large network data analysis and processing of multi-node multi-channel data. 3. Distributed source coding new information coding theory and two practical coding scheme - application accompanied by the type of source coding methods (DISCUS method) and turbo code based on the distributed source coding method ( Turbo-DSC), and focus on the Turbo-DSC method simulation analysis. Simulation correlation modeling by the relevant source, respectively Analysis of the binary symmetric source (BSC) the and Gaussian channel source case the relationship between the correlation strength of the decoded bit error rate between the source, obtained a series of useful conclusions. 4 discusses the practical coding scheme of distributed source applications in wireless multimedia sensor networks. An intra-frame coding, interframe decoding for multi-node image compression, by simplifying the model, given the image in a camera array distributed coding framework; video processing for single-node, given the transform domain-based distribution -video processing framework. Both frameworks are based on the the LBT transformation and Turbo-DSC encoder, which is the main advantage of the advantage of taking into account the the LBT transform low complexity and transform coefficients zero-tree structure exists and turbo codes near channel capacity.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication
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