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Markov Decision Based Optimization on Bundle Size for Halo Orbit-Relay Earth-Lunar DTNs

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Wireless and Satellite Systems (WiSATS 2019)

Abstract

Earth-Lunar communications are important for lunar exploration. Among them, Halo orbit relay satellite communications networks are extremely valuable. However, due to the highly dynamic and long-distance transmission characteristics, Halo Orbit-relay Earth-Lunar Disruption-Tolerant Networks (DTNs) have to endure severe latency. In order to deal with this problem, we propose a new solution that overcomes the impact of transmission characteristics by adjusting bundle size, thereby effectively reducing the latency of the Earth-Lunar relay communication networks. Considering the transmission characteristics and the deep space environment, we derive the delay formula of the Halo Orbit-relay Earth-Lunar DTNs and establish the distance model. In particular, in order to solve this model, we propose a Markov decision method. Finally, the simulation results verify the effectiveness of the Markov decision method.

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Acknowledgment

The authors would like to express their high appreciations to the supports from the National Natural Sciences Foundation of China (61501140, 61701136, 91538110 and 61831008), and Natural Science Foundation of Guangdong Province (2016A030313661).

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Correspondence to Zhihua Yang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xu, Y., Wang, Y., Yang, Z., Gu, S., Li, Y., Yuan, P. (2019). Markov Decision Based Optimization on Bundle Size for Halo Orbit-Relay Earth-Lunar DTNs. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_58

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  • DOI: https://doi.org/10.1007/978-3-030-19153-5_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19152-8

  • Online ISBN: 978-3-030-19153-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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