文献类型：期刊文献

中文题名：基于压缩感知的拥塞控制机制

英文题名：Congestion control mechanism in WSN based on compressive sensing

作者：牛玉刚[1];甘峰浩[1];胡源[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

年份：2015

卷号：30

期号：2

起止页码：246

中文期刊名：控制与决策

外文期刊名：Control and Decision

收录：CSTPCD;;EI(收录号：20150600502569);Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：国家自然科学基金项目(61273073)

语种：中文

中文关键词：无线传感网络;拥塞控制;压缩感知;速率调节

外文关键词：WSN;congestion control;compressive sensing;rate control

摘要：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.
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.