Enhanced backpressure Algorithm for Adaptive Redundancy

To utility maximization in networks where the sources do not employ flow control and may consequently overload the network. In the absence of flow control at the sources, some packets will inevitably have to be dropped when the network is in overload. To overcome the problem by proposing the new method called receiver based flow control method. At first develop a distributed, threshold based packet-dropping policy that maximizes the weighted sum throughput. Next, we consider utility maximization and develop a receiver-based flow control scheme that, when combined with threshold-based packet dropping, achieves the optimal utility. In the flow control scheme creates virtual queues at the receivers as a push-back mechanism to optimize the amount of data delivered to the destinations via backpressure with adaptive redundancy (BWAR), mechanism. It is the novel hybrid approach that removeredundant packets via a timeout mechanism, and that improve energy use. The simulations confirm that BWAR outperforms traditional backpressure at low load, while outperforming back pressure routing schemes at high load.