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.
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