Clustering algorithm for micro unmanned aerial vehicle networks with multi-task objectives

Ziyang Liu; Bo Jiang; Hong Xu

doi:10.1117/12.3004084

11 October 2023 Clustering algorithm for micro unmanned aerial vehicle networks with multi-task objectives

Ziyang Liu, Bo Jiang, Hong Xu

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128000P (2023) https://doi.org/10.1117/12.3004084
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

To address the complex multi-tasking application scenarios and unstable network topology of micro Unmanned Aerial Vehicle (UAV) clusters, this paper proposes a clustering algorithm MT-WCA. Firstly, the UAV nodes calculate their weight based on average connectivity difference, transmission capability, relative mobility and energy consumption. Then, under the constraint of cluster membership, the most suitable cluster head is elected to prolong the network's integrity time as much as possible. MT-WCA partitions task clusters rationally based on task objective information in the scenario, enabling the UAV cluster to complete tasks more effectively. The paper simulates multi-tasking work scenarios by MATLAB and compares the integrity time of UAV networks using different algorithms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyang Liu, Bo Jiang, and Hong Xu "Clustering algorithm for micro unmanned aerial vehicle networks with multi-task objectives", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128000P (11 October 2023); https://doi.org/10.1117/12.3004084

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