A SPN-Based Delay Analysis of LEO Satellite Networks

  • Authors:

  • Zhiguo Hong;Yongbin Wang;Minyong Shi

  • Affiliations:

  • Postdoctoral Station, Communication University of China, Beijing, China 100024;School of Computer and Software, Communication University of China, Beijing, China 100024;School of Animation, Communication University of China, Beijing, China 100024

  • Venue:
  • ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
  • Year:
  • 2008

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Abstract

In this paper, we focus on the average time delay analysis of Low Earth Orbit (LEO) satellite networks. Firstly, a geometrical analysis of LEO satellite networks is given according to the characteristics of communication process. By taking the communication process of LEO satellite networks into account, average time delay is formulated by four parameters, i.e. average altitude of LEO satellite networks, uplink bandwidth, Inter-satellite links (ISLs) bandwidth and downlink bandwidth. Then, a Stochastic Petri Net (SPN) model is constructed. Accordingly, in order to represent the characteristics of average time delay, the arrival rate in the SPN model is mapped from the four above-mentioned parameters. Furthermore, the effects of these parameters on average time delay are also analyzed with Stochastic Petri Net Package (SPNP) 6.0. Because of its easiness and accuracy, the proposed approach has great benefit to the design and performance analysis of satellite networks.