Analyses Embedability Of Triba Topology Network

With the expansion of network scale,increasing of network-user number and their needs,the network devices are now constantly overloaded,which reduces network performance.Indicators of network performance reducing mainly include network delay throughput and its rate,bandwidth and channel utilization.The embodiments are low speed,network instability and collapse. So we need to monitor and analyze network devices regularly to improve network performance in those aspects.The main research method of this thesis is simulation method.I use the simulation software based on OPNET to simulate the network.The main content is:1.Simulation analysis of Triba topology Network attribute based on the layering Triba topology Network brought up by other researchers to prove that Triba topology Network has good attribute.2.This thesis make it come true that embed flooding algorithm and Dijkstra algorithm into Triba topology network and conducting a simulation about its performance.The result shows Triba topology network performs well in these two algorithms and we could apply it in actual network topology.3.This thesis nests other network topology into Triba topology network.The result of the simulation shows that nesting Triba topology and other topology can improve network performance a little,so we can prove the practicability of Triba topology.At last,according to the simulation results,it shows that Triba topology network performs well in network passive measurements and specific network massive algorithms,so it can be applied as a mainstream network in the future.