Volume 9 - Issue 16
An adaptive compression scheme for small-format data of vehicle body base-on sliding window
Abstract
The remote vehicle monitoring system has become an important part of the vehicle fault diagnosis system. But the expenditure of the network flow is too high, which was caused by transmission of small-format data. In order to reduce the data quantity of the communication and at the same time ensure high accuracy, this paper studies the reason why traditional Huffman coding can only get little compression effect and then presents a lossless compression scheme that is combined with redundant processing and adaptive Huffman coding. A new Huffman tree update strategy is proposed to combine with the coding method base-on sliding window, which makes the Huffman coding rebuild the tree without transmitting code table and well adapted to small-format data. The simulation results show that the new scheme can effectively raise the compression ratio by 15% higher than traditional Huffman coding method and solve the problem caused by small-format data in traditional Huffman coding.
Paper Details
PaperID: 84882933359
Author's Name: Liu, X., Tang, M., Chen, J., Zhong, Y., Ruan, X.
Volume: Volume 9
Issues: Issue 16
Keywords: Adapitve huffman coding, Apical dominance strategy, Lossless compression, Small-format
Year: 2013
Month: August
Pages: 6315-6323