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A Data Scheduling Algorithm Based on Link Distance in Directional Aviation Relay Network

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Smart Grid and Internet of Things (SGIoT 2020)

Abstract

A data scheduling algorithm based on link distance is proposed in this paper, aiming at the problem of low data transmission throughput caused by the unequal link distance between aircraft relay nodes and ground nodes in a directional aviation relay network. Firstly, the aircraft node acquires the data transmission request of the ground node during the data transmission request collection stage, and measures the transmission distance and the data transmission delay with the ground node. Secondly, a data scheduling algorithm based on downlink first uplink, long distance first and short distance is designed, which fully utilizes the communication delay expansion gain brought by the unequal link distance. Finally, the simulation results show that when the network traffic is saturated, compared with the distributed scheduling (DS) algorithm, the algorithm named link distance data scheduling (LDDS) proposed in this paper improves the network throughput by 7.4%.

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Acknowledgement

This work was supported in part by Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 201955053002), the National Natural Science Foundations of CHINA (Grant No. 61871322, No. 61771392, No. 61771390, and No. 61501373), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035).

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Correspondence to Zhongjiang Yan .

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Zhou, W., Li, B., Yan, Z., Yang, M. (2021). A Data Scheduling Algorithm Based on Link Distance in Directional Aviation Relay Network. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_33

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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