To solve the congestion problem in Wireless Sensor Network (WSN), a congestion control mechanism which combines fuzzy control and Compressed Sensing (CS) techniques together was proposed to alleviate WSN congestion. Firstly, compressed sensing technology was introduced into WSN to congestion control in wireless sensor networks, and the congestion control effect of CS was analyzed. It would reduce redundant information and relive network congestion. Secondly, for the problems that compressed sensing cannot adapt to the complex environment of WSN, a congestion control algorithm of fuzzy compressed sensing was designed in this paper, which combined the congestion degree of network to dynamically adjust the dimension of observation matrix, thus make the compress sensing better adapt the complex environment of WSN. The mechanism can improve the network throughput by 10% to 50%, reduce the packet loss rate by 10% to 50%, and reduce the network delay by nearly 5 s. NS2 simulation shows that the mechanism achieves better improvement to WSN congestion.