针对无线传感网络(WSN)的拥塞问题,提出一种压缩感知与速率控制相结合的拥塞缓解方法.针对局部拥塞,通过开环逐条反压机制调整上游节点的发送速率,从而快速缓解局部拥塞;针对全局拥塞,各节点采用压缩感知的方法采集数据,减小采集信息的冗余,从而缓解全局性拥塞.拥塞缓解后,节点正常采样,以此来保证数据的真实度.仿真结果表明,该方法对WSN的拥塞具有较好的控制效果. Aiming at the problem of congestion in Wireless Sensor Networks (WSN), this paper proposes a congestion mitigation method based on compressed sensing and rate control. For local congestion, the upstream node’s sending rate is adjusted by the open loop stripe back-to-back mechanism to mitigate local congestion For global congestion, each node adopts the method of compressed sensing to collect data and reduce the redundancy of collected information, thereby relieving the global congestion. After the congestion is relieved, the nodes are sampled normally to ensure the authenticity of the data. Simulation results show that, This method has better control effect on WSN congestion.