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.