Study on Distribution Model of Positioning Unit in Pervasive Computing

In the three-dimensional positioning process, pervasive computing requires higher positioning accuracy and fast response to the location information. Based on the analysis of the traditional location algorithm, the study on regional errors found that four positioning reference nodes in the space could improve the positioning accuracy according to a certain distribution model, showing better provision of location services. Thus, the distribution model theorem on space positioning unit was proposed. Based on this, improvement was made on the traditional polygon location algorithm, with the positioning unit selection algorithm proposed accordingly. Simulation results presented that in this paper, the positioning unit distribution model theorem and the positioning unit selection algorithm were able to better meet the needs for real-time positioning of the pervasive terminals, with higher positioning accuracy.