GPRS Communication System Designed for High Congestion Risk Circumstance

A GPRS communication system is presented in this paper, including image data fusion with the help of neuro-fuzzy, image data compression with controllable compression rate, effective congestion control. The combination system adopts a new fuzzy neuron network (FNN) which can appropriately adjust input and output, and increase robustness, stability and working speed of the network. Besides FNN, wavelet transform also be applied to compression algorithm for a higher and controllable compression rate. As shown by experimental results, the communication system can obtain composite image data effectively, can compress and decompress image data dynamically, can prevent the congestion significantly, which proves that it is a more practical and more effective method than traditional methods for communication in wireless networks, and it is especially better at video data transmitting