Data Compression Approach based on BeiDou Short Message Communication in Power Systems

Short Message Communication (SMC) is a featured service of BeiDou Navigation Satellite System (BDS). The short-message processing resources for satellites are comparatively unusual. To enhance a resource utilization as well as guarantee short-message fatal quality is suitable, it is essential to allocate as well as plan short-message satellite dispensation properties in multi-satellite coverage area. In this research, the Dynamic Weight based Grey Wolf Optimization (DWGWO) is proposed for the for lossy data compression approach to transmit a electric data based on BDS. The performance of the proposed method achieves better results and it evaluated by using the various metrices such as Compression Ratio (CR), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and computational time of values about 66.34, 3.129, 3.998 and 0.004 respectively. The proposed method achieves better results when compared to the existing methods such as Chaos Multilayer Particle Swarm Optimization (CMPSO), Quadrature Mirror Filter (QMF)-based sub-band splitting as well as Binary Encoding Method (MBE).