Implementation of Optimal Routing Algorithms 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 Routing Algorithms 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-enabled networks with bandwidth guarantee. QSTP combines QoSaware TFRC congestion control mechanism, which takes into account the network-level bandwidth reservations, with a Selective ACKnowledgment (SACK) mechanism in order to provide a QoS-aware transport service that fill the gap between QoS enabled network servicesSimulation results show that Network congestion avoidance strategy with particle filter can improve the bandwidth utilization, TCP friendliness and reduce the packet drop rate in Pipeline Flux Leak Monitoring networks. This way, network resources are optimally distributed and the number of multicast trees that can be setup is maximized.
Transmission control protocol1 Particle filter2 QoS networks3, Congestion control4, optimization5
Zhou Peng
College of Information Engineering, Tarim University (TU), Alar 843300, China
国际会议
重庆
英文
263-266
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）