In this paper we study distributed position estimation for sensor networks. The fundamentals of distributed position estimation algorithms are presented. Two types of ellipsoid outer-approximation algorithms are employed to estimate the positions of unknown sensors. Polytope outer-approximation algorithm is also investigated. Numerical experiments demonstrate the effectiveness of the algorithms. It turns out that polytope algorithm is able to yield position estimations more accurately and efficiently.