K multi-run coding method for storage and transmission of mass information of Internet of vehicles

Abstract

The invention discloses a K multi-run coding method for storage and transmission of mass information of an Internet of vehicles. The method comprises utilizing multi-run codes to mine among neighboring runs, and if a previous run is identical to a next run, substituting the whole next run with one bit; representing the multi-bit next run to achieve conversion from multiple bits to a single bit and to compress testing data; performing coding with a coding schedule and substituting long runs through short codes; designing a coder and controlling a (log2k)th bit counter and a (k+1)th bit counter; recording the length of prefixes through the (log2k)th bit counter; recording the length of suffixes through the (k+1)th counter; storing the value in the (k+1)th bit counter into a (k+1)th register after suffix input ends. According to the K multi-run coding method for storage and transmission of the mass information of the Internet of vehicles, the runs which can be coded only through multiple bits are substituted through the single bit, so that data can be compressed; during actual measurement of data collection in the Internet of vehicles, the data compression effects can be improved by more than 10% compared with traditional run coding effects.

Description

technical field [0001] The invention belongs to the field of information coding, and in particular relates to a K-complex run-length coding method for storing and transmitting a large amount of information in the Internet of Vehicles. Background technique [0002] The storage and transmission of a large amount of information is one of the important technical problems faced by the Internet of Vehicles technology, so the data collected by the front end must be effectively compressed and encoded. Common coding compression methods include classic run-length codes, Golomb codes, FDR codes, alternating continuous codes (AARLC), EFDR, and hybrid run-length codes (HRC). Although these encoding methods have achieved a certain compression effect, they are the same as the traditional run-length encoding, and they do not consider the correlation between the run-lengths, and do not dig deep into the redundant information in the data, resulting in that when the run-lengths have the same c...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a K complex run-length encoding method for storing and transmitting a large amount of information in the Internet of Vehicles, aiming to solve the problem of not considering the correlation between runs in the existing technology, and not digging deeply into the existing data. Redundant information, resulting in that when the run length has the same characteristics, it is still processed in an inherent way, and there is no problem of obtaining a higher coding gain

Images