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Packet Losses in SAGIN with Artificial Intelligence

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Abstract

Modern solutions based on Artificial Intelligence (AI) play an important role in the management of drone’s resources in Space-Air-Ground-Integrated-Network (SAGIN). AI can use information collected by drone sensors to develop routing protocols, optimize communication networks, improve energy efficiency, and predict user behavior. In this regard, the analysis of data loss in SAGIN with AI is relevant. This work is devoted to the calculation of packet losses in SAGIN, containing additional hardware of AI system. Based on the original model containing a Base Station (BS), a stratospheric Remotely Piloted Air System (RPAS) with an AI system, a low-orbit satellite, a low-altitude RPAS and a user of a terrestrial cellular network, data traffic was simulated using NetCracker Professional 4.1 software. The AI system was simulated by a cloud structure with the ability to change the delay and the probability of packet losses. Quantitative characteristics of traffic in SAGIN channels with such a model of the AI hardware system are obtained. The dependences of packets losses on the size of messages and the data transfer rate are calculated. The dependences of BS uplink Average Load and the packets travel time on the TS, as well as the dependences of the Bit Error Rate (BER) on the Average Load, are obtained. The results are valuable in terms of practical guidelines for choosing data transfer modes and the necessary hardware parameters for an AI system.

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Data Availability

All data generated and analyzed during this study are included in this article. The datasets generated during the current study are available from the corresponding author on request.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Author notes

  1. Volodymyr Kharchenko and Vasyl Kondratiuk contributed equally to this work.

Authors and Affiliations

  1. Research Training Center “Aerospace Center”, National Aviation University, 1, Liubomyra Huzara Ave, Kiev, 03058, Ukraine

    Volodymyr Kharchenko, Andrii Grekhov & Vasyl Kondratiuk

Authors
  1. Volodymyr Kharchenko
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  2. Andrii Grekhov
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  3. Vasyl Kondratiuk
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Contributions

AG and VK: Conceptualization, AG: methodology, AG, VK. and VK: validation, AG: investigation, VK. and VK: resources, AG: writing—original draft preparation, VK: writing—review and editing, VK: supervision, VK: project administration, All authors have read and agreed to the published version of the manuscript.

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Correspondence to Andrii Grekhov.

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Kharchenko, V., Grekhov, A. & Kondratiuk, V. Packet Losses in SAGIN with Artificial Intelligence. Int J Wireless Inf Networks 30, 164–172 (2023). https://doi.org/10.1007/s10776-022-00579-2

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  • DOI: https://doi.org/10.1007/s10776-022-00579-2

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