A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks

Jinchao Liu; Qi Zhang; Xiangjun Xin; Qinghua Tian; Ying Tao; Rui Ding; Yufei Shen; Guixing Cao; Naijin Liu

doi:10.1117/12.2505961

15 November 2018 A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks

Jinchao Liu, Qi Zhang, Xiangjun Xin, Qinghua Tian, Ying Tao, Rui Ding, Yufei Shen, Guixing Cao, Naijin Liu

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109643O (2018) https://doi.org/10.1117/12.2505961
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

In order to solve the problem of endurance of high-speed mobile multi-UAV in Ad Hoc networks with frequent network topology changing, this paper proposes a weighted clustering algorithm based on node energy (EWCA). In this algorithm, we use a multi-parameter weighted clustering algorithm, which improve the node degree difference and node residual energy calculation methods, and study the similarity between the adjacent nodes in terms of speed, direction, etc. The simulation studies the inter-cluster switching rate, the number of nodes and the performance of the minimum lifetime of network node. The results show that, compared with the highest node degree algorithm (HIGHD), adaptive security clustering algorithm (SWCA) and weighted clustering algorithm (WCA), the proposed algorithm can reduce the number of clusters, improve the stability of clustering, and the survival time of drones, and improve the network's endurance.

Citation Download Citation

Jinchao Liu, Qi Zhang, Xiangjun Xin, Qinghua Tian, Ying Tao, Rui Ding, Yufei Shen, Guixing Cao, and Naijin Liu "A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109643O (15 November 2018); https://doi.org/10.1117/12.2505961

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