Sensor localization is used by many position dependent applications in the wireless sensor network (WSN), where ranging from sensor nodes to beacon nodes plays a fundamental role. Most state-in-the-art ranging methods rely on many assumptions of deployment and measurement. However, these assumptions do not hold in practice. Therefore, the present methods introduce such great ranging errors that they are not feasible for real applications. In order to obtain more accurate distance estimation, this paper proposes a new metric, round-route node correlation, to describe the bending of paths in the WSN. Then it proposes a method to identify turning nodes along paths. By comparing the similarities between paths, further adjustment algorithms based on similarities are proposed. Simulation results show that the proposed method outperforms PDM and DV-distance especially when beacon nodes are not deployed uniformly.