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A Low-Overhead Routing Protocol for FANET Based on Ant Colony Algorithm

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Communications and Networking (ChinaCom 2022)

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Abstract

To address the problems of low network throughput and delivery rate and high communication overhead between nodes due to frequent topology changes of flight self-assembled networks, this paper proposes a SE-AODV routing protocol optimized based on the traditional on-demand distance vector routing protocol. The new protocol takes into account the actual influencing factors such as energy and received signal strength, and combines the pheromone calculation rules of the ant colony algorithm to update the routing table, while optimizing the optimal path selection basis. Simulation results show that compared with traditional on-demand distance vector routing and EE-AODV, the new routing protocol not only shows more obvious advantages in throughput and packet delivery rate, but also reduces routing overhead, and is more suitable for scenarios where nodes are in high-speed motion.

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Authors and Affiliations

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

    Ziyi Wang, Xiang Yu, Binbin Wang & Shilong Cheng

Authors
  1. Ziyi Wang
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  2. Xiang Yu
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  3. Binbin Wang
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  4. Shilong Cheng
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Corresponding author

Correspondence to Ziyi Wang .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Feifei Gao

  2. Fudan University, Shanghai, China

    Jun Wu

  3. Chongqing University, Chongqing, China

    Yun Li

  4. Shanghai University, Shanghai, China

    Honghao Gao

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Z., Yu, X., Wang, B., Cheng, S. (2023). A Low-Overhead Routing Protocol for FANET Based on Ant Colony Algorithm. In: Gao, F., Wu, J., Li, Y., Gao, H. (eds) Communications and Networking. ChinaCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-34790-0_25

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  • DOI: https://doi.org/10.1007/978-3-031-34790-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34789-4

  • Online ISBN: 978-3-031-34790-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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