An efficient compressed sensing-based cross-layer congestion control scheme for Wireless Sensor Networks

Cross layer congestion control algorithm based on compressed sensing (CS) is developed and designed in order to relieve congestion in Wireless Sensor Networks (WSNs).The main idea of this paper is to reduce congestion of sensor nodes by compressed transmission signal and allocated channel. In order to make an ideal distribution for sensor node, original signal is compressed at the network bottleneck, prevented high levels of data flow. The channel weights and the maximum effective set of containing channel least are calculated, and we allocate the appropriate channel in order to avoid channel contention and balance the network loading among the sensor nodes. Simulation results indicate the superior performance of our proposed algorithm to strike the appropriate performance in the congestion control, energy consumption and network lifetime for the wireless sensor networks.