Simulation of High Tolerance Control Algorithm for Communication Delay in Multi-layer Relay Network
Due to Gaussian white noise during the communication of relay network,the input signal will generate phase deflection,that is,signal delay.This delay will not only reduce network stability,but also waste channel infor-mation resources.Therefore,this paper proposed an algorithm with high tolerance for controlling communication delay in multi-layer relay network.At first,the maximum loss of energy of multi-layer relay network communication was calculated by the similarity principle.Then the node value with information was transformed under the energy limita-tion.In the meanwhile,the situation of data transmission of communication information sources was analyzed.After that,the problem of time delay control was transformed into the solution for optimal probability,thus ensuring the transmission success rate of communication data.According to the network model,the optimal number of network clus-ters was calculated,so that the energy lost in the data communication cycle of nodes within the cluster could be ob-tained.According to the node density,the actual node communication radius was determined.Moreover,the ant colony algorithm was adopted to gather all cluster heads to the multi-hop route with the minimum node cost.Finally,the high tolerance control of communication delay in multi-layer relay network was achieved.The following conclusions can be drawn from experimental results.With the increase of communication information cache,the information delivery rate of the proposed method can still reach 0.40,and the communication network overhead can be controlled within 300J.Meanwhile,the minimum delay can be controlled within 12ms,which is far lower than that of other algorithms.In ad-dition,the packet loss rate of communication network becomes lower.The experimental result proves the application advantage of this method and its practicability.
Multi-layer relay networkHigh tolerance of time delayCommunication network nodeNode energy
NETL
NSTL
万方数据
维普
