For locating a set of stationary devices, algorithms such as MDS-MAP have been favoured by the sensor network community. This is generally because of their low computational complexity. Whilst comparisons for complexity and performance have been done for other algorithms, non-linear regression (NLR) has been neglected. The authors find that it is not much more expensive than MDS-MAP, yet can yield significantly better accuracy for sensor network localisation.