基于压缩感知的拥塞控制机制

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。

Congestion control mechanism in WSN based on compressive sensing

A congestion control mechanism which combines compressive sensing and rate control is proposed to solve the congestion problem of wireless sensor network(WSN). For local congestion, by using open-loop hop-by-hop backpressure mechanism, the send rate of the upstream node is adjusted to relief local congestion quickly. For global congestion, the compressive sensing technology is used to reduce redundancy information, thus relieving network congestion. To guarantee the authenticity of information, information is collected in the normal mode after the congestion relieved. Simulation shows that the mechanism achieves better Qos in terms of throughput, latency and energy consumption.