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A Method of Relay Node Selection for UAV Cluster Networks Based on Distance and Energy Constraints

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  • Guangjiao Chen

    (School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China)

  • Guifen Chen

    (School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China)

Abstract

Cooperative communication is a key technology to improve the stability of UAV swarm communication. To reduce the energy consumption in cooperative communication, this study proposes a method for selecting relay nodes based on distance and energy constraints. First, a two-stage communication model was designed to explain the signal forwarding communication process. Subsequently, cluster head nodes were filtered through a competition mechanism to be used for forwarding source signals. The minimum communication capacity of the link contained the distance parameter of the relay link. Lastly, under energy and distance constraints, the optimal solution of the minimum interrupt function for the cluster head was found, and was defined as the best relay node. The experimental results show that the two parameters of network coverage and residual energy of the improved method were higher than those of other mainstream algorithms. Furthermore, the actual UAV networking test results show that the proposed relay selection method had the most residual energy. It is concluded that the relay selection method proposed in this study has good practicality and advancement in UAV cluster communication.

Suggested Citation

  • Guangjiao Chen & Guifen Chen, 2022. "A Method of Relay Node Selection for UAV Cluster Networks Based on Distance and Energy Constraints," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16089-:d:990880
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    References listed on IDEAS

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    1. Mohammed Abdulhakim Al-Absi & Ahmed Abdulhakim Al-Absi & Mangal Sain & Hoonjae Lee, 2021. "Moving Ad Hoc Networks—A Comparative Study," Sustainability, MDPI, vol. 13(11), pages 1-31, May.
    2. Tao Han & Seyed Mostafa Bozorgi & Ayda Valinezhad Orang & Ali Asghar Rahmani Hosseinabadi & Arun Kumar Sangaiah & Mu-Yen Chen, 2019. "A Hybrid Unequal Clustering Based on Density with Energy Conservation in Wireless Nodes," Sustainability, MDPI, vol. 11(3), pages 1-26, January.
    3. Shayesteh Tabatabaei, 2022. "Provide energy-aware routing protocol in wireless sensor networks using bacterial foraging optimization algorithm and mobile sink," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-23, March.
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    Cited by:

    1. Abdu Salam & Qaisar Javaid & Masood Ahmad & Ishtiaq Wahid & Muhammad Yeasir Arafat, 2023. "Cluster-Based Data Aggregation in Flying Sensor Networks Enabled Internet of Things," Future Internet, MDPI, vol. 15(8), pages 1-24, August.
    2. Xinzhou Li & Guifen Chen & Guowei Wu & Zhiyao Sun & Guangjiao Chen, 2023. "D2D Communication Network Interference Coordination Scheme Based on Improved Stackelberg," Sustainability, MDPI, vol. 15(2), pages 1-17, January.

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