Distributed image compression transmission method for wireless sensor network

Abstract

The invention discloses a distributed image compression transmission method for a wireless sensor network. Based on an improved three-layer network structure, the method is characterized by comprising the following steps: automatically segmenting images by using an acquisition node on a first layer of the network based on the characteristic of images to be transmitted; sending various blocked images and compression parameters to a plurality of coding nodes of a second layer of the network; performing 9-7 lifting wavelet transform on the blocked images by various coding nodes according to the compression parameters and performing coding compression by using a layered wavelet tree set segmentation algorithm; sending coding files to a first transmission node of a third layer of the network; performing multiple hop transmission on the coding files to a target node by the transmission nodes of the third layer of the network; decoding reconstructed images of the received coding files by the target node. By combining the image blocking technology, the lifting wavelet transformation algorithm and the layered wavelet tree set segmentation algorithm, the distributed compression transmission on the images is realized, so that the network data transmission quantity is effectively reduced, the energy consumption of sensor nodes is balanced, and the network life cycle is prolonged.

Description

technical field [0001] The invention relates to an image compression transmission technology of a wireless sensor network, in particular to a distributed image compression transmission method for a wireless sensor network. Background technique [0002] The data compression technology in the wireless sensor network is to compress the data or information collected by the sensor. A large amount of data needs to be transmitted in the sensor network. Compressing and retransmitting the data to be transmitted can effectively reduce the communication energy consumption in the network, so the data Compression is very important. However, compression will generate computing energy consumption, so the design of data compression mechanism in wireless sensor networks with limited energy needs to make a trade-off between communication energy consumption, computing energy consumption and other different factors that need to be considered. [0003] Image compression is the application of da...

AI Technical Summary

Problems solved by technology

Due to the huge amount of image information, compressing images requires a large data cache space and computing energy consumption

Moreover, in a wireless sensor network, nodes need to undertake tasks such as data collection, information calculation, and message transmission. If the pressure of collection, calculation, and transmission in the network is concentrated on a single node, it will not only increase the storage and processing pressure of the node, but will also reduce the lifetime of the node

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