基于SPN模型的卫星网络性能评价

基于随机Petri网(SPN)模型方法,分别对LEO单层卫星网络和LEO/MEO双层卫星网络进行了性能分析.首先分析了卫星网络的特点,并在此基础上建立了半双工通信模式下LEO单层卫星网络的SPN模型、全双工通信模式下LEO/MEO双层卫星网络的SPN模型.然后,选取平均时延作为网络性能评价指标、采用SPNP6.0软件对上述两个SPN模型进行了性能评价.最后,对两个模型的性能评价结果进行了对比分析,得出了有关在网络负载变化情况下LEO单层卫星网络和LEO/MEO双层卫星网络的性能优劣比较结论.

An SPN Model-Based Performance Evaluation of Satellite Networks

The performance evaluation on a single-layered LEO satellite network and a double-layered LEO/MEO satellite network is carried out by Stochastic Petri Net model-based analysis. Firstly, the characteristics of satellite networks are analyzed and on the basis of the analysis, two SPN models for a single-layered LEO satellite network under half duplex mode and a double-layered satellite network under full duplex mode are constructed respectively. Then, average time delay is chosen as a key performance index to evaluate the network performance of two constructed models with SPNP (Stochastic Petri nets Package) 6.0 software. Finally, the comparison analysis of the performance evaluation results is given as well. Some conclusions, which is the performance comparison of the single-layered LEO satellite network and the double-layered LEO/MEO satellite network's with the variation of network load, are derived thereby.