Cross-layer Congestion Control Algorithm Based on Compressed Sensing in Wireless Sensor Networks
This paper presents a cross-layer congestion control algorithm based on compressed sensing(CS)in wireless sensor networks(WSNs),in which node-congestion and link-congestion are occurred simultaneously.WSNs model is provided in the first group.The second group includes controller designing: sparse signal is projected compressively in bottleneck node,which reduces the data transmission; then the compressed signal is reconstructed with convex optimization method,whose target is reconstruct original signal.Via Lyapunov function the validity of the proposed algorithm is verified.NS2 and MATLAB simulation results show that there are improvements in the dropped packets and throughput as compared to the other congestion control protocols.The proposed scheme also perfects the quality of service for the whole network.
wireless sensor networks congestion control compressed sensing reconstruction
LI Chengtie WANG Jinkuan WANG Bin HAN Yinghua GAO Jing
School of Information Science and Engineering Northeastern University,Shenyang 110819
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
5830-5833
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）