An Adaptive Compression Strategy Based on A* Algorithm
Yun Wu, Guannan Xu, Jieming Yang, Lishan Bao · International Journal of Multimedia and Ubiquitous Engineering · 2017
In this paper, a new adaptive compression strategy based on the A* algorithm called SA* algorithm is proposed which combined the data compression with the heuristic method. A new evaluation function construction method is devised for the SA* algorithm, which is suitable for the frequency optimization of data compression. The simulation experiments are carried out to compare the adaptive compression algorithm based on heuristic searchwith the traditional equal-interval sample method applying Matlab platform, the experimental results show that the adaptive compression strategy based on A* algorithm can reduce the storage space of the data with lower distortion, and reach the balance of the quantity and quality of the data.This algorithm will be used to deal with the problem of large amount of historical load data in SCADA system, and it has the phenomenal ability to capture the tendency of changing load data, reducing the burden of the network and information processing system.The data cleaning and load forecasting time can be reduced as well.