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Application Layer Channel Coding for Space DTN

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Machine Learning and Intelligent Communications (MLICOM 2017)

Abstract

Space communications have the characteristics of long link delays, frequent link disruptions and high error rates. With reliable Licklider Transmission Protocol (LTP) or Transmission Control Protocol (TCP), automatic repeat request (ARQ) is applied to enable reliable data delivery in delay/disruption tolerant networking (DTN). However, ARQ is inefficient for space communications especially in links with long round trip time (RTT). In this paper, an application layer Reed-Solomon (ALRS) channel coding scheme is proposed, which is further combined with ARQ to guarantee reliable transmission in DTN architecture. The proposed ALRS coding scheme is implemented in open source ION-DTN software and its performance is evaluated on a dedicated testbed. The results of the experiments show that this scheme in DTN can be speed up in most scenarios compared with ARQ-only scheme. With coding in application layer, the scheme is also more compatible with the overlay characteristic of DTN.

This work is supported by the National Natural Science Foundation of China (No. 61401194), the Fundamental Research Funds for the Central Universities (021014380064) and the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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Correspondence to Kanglian Zhao or Wenfeng Li .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hou, D., Zhao, K., Li, W. (2018). Application Layer Channel Coding for Space DTN. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_34

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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