Abstract: Aiming at the shortages of range-based and range-free localization models such as low location precision, high latency/complexity and high-density nodes, a range-free localization model based on fuzzy recognition was developed where several swatch nodes were provided in location space. Then, combining the intensity of signal received in WSN with the fuzzy mathematics to acquire an unknown node's coordinate via computing the proximity degree between the unknown node and swatch nodes, the model developed can simplify the procedure to get coordinate solution. Verified by virtue of the simulation software NS-2 and analytic geometry, the fuzzy triangular localization model is proved of high performance.