Design of Optimal Pacing Scheme Based on Pipeline Flux Leak Monitoring Networks

Flow against pipeline leakage and the pipe network sudden burst pipe to pipeline leakage flow for the application objects, Optimal pacing scheme is designed in pipeline leak monitoring. Based on the property of Markov chain for network data, a new estimator with particle filter is proposed for congestion control in this paper. In the context of a reconfigurable transport protocol framework, we propose a QoS aware transport protocol (QSTP), specifically designed to operate over QoS (quality of service) enabled networks with bandwidth guarantee. The proposed scheme can adaptively adjust the network rate in real -time, so that it can efficiently avoid the traffic congestion. It proposes a Link Layer Adaptive Pacing (LLAP) scheme that adaptively controls the offered load into the network. Simulation results show that Network congestion avoidance strategy with optimal pacing scheme can efficiently improve the bandwidth utilization, TCP friendliness and reduce the packet drop rate in pipeline flux leak monitoring networks.