Research And Simulation Of Efficient Data Acquisition Technology In Spatial Information Network

In-1 view of the problems of data collection caused by large amount of data and limited resources in spatial information network, in this paper, we propose an efficient data collection method that combines compression awareness with clustering routing strategy, which combines efficient recovery quality and low energy consumption. By establishing data transmission energy consumption model, the method calculates the best quantity of cluster heads to meet the optimal expenditure of energy conditions. After simulation analysis, the data collection scheme designed in this paper achieves good reconstruction effect of raw data with low energy consumption and at the same time, the energy consumption in the whole network is more uniform.