Generalized Kruithof Approach for Traffic Matrix Estimation

In this paper, the traffic matrix estimation problem is formulated as an nonlinear optimization problem based on the generalized Kruithof approach which uses the Kullback distance to measure the probabilistic distance between two traffic matrices. In addition, an algorithm using the affine seating method is provided to solve the constraint optimization problem