Streamlines in a signal field are analyzed to describe the changes in the signal distribution of wireless sensors in this study. To generate streamlines effectively and efficiently with seed points in a vector field, we combine several algorithms to propose an adaptive method. The method is based on a quadtree data structure and information entropy. First, we improve the speed of calculating the entropy field in a vector field by an order of magnitude using a fast entropy field calculation algorithm. In the entropy gradient field, seed points are deployed along the direction of the gradient at a certain interval from the existing seed points using an entropy gradient field seeding algorithm. Then, a quadtree grid in the entropy field is obtained by dividing the field into multiple levels with high entropy using the quadtree entropy field segmentation algorithm. Upon doing this, all nodes of the grid become seed points. These algorithms significantly improve the efficiency of seed point deployment, with different densities in different locations. As a result, a better layout of streamlines in the vector field is generated.