Dynamic Polygon Generation for Flexible Pattern Formation in Large-Scale UAV Swarm Networks

Gunasekaran Raja, Kottilingam Kottursamy, Ajay Theetharappan, Korhan Cengiz, Aishwarya Ganapathisubramaniyan, Rupak Kharel, Keping Yu

研究成果

2 被引用数 (Scopus)

抄録

A UAV swarm network is a network formed by aggregating a large number of UAVs and coordinate them to execute a specific mission, especially in areas where human intervention is not physically possible or economically viable. The process of coordinating and maintaining a UAV swarm network has various phases. The pattern formation phase is one of the important phases and is highly significant in missions where geography is an important aspect of the mission. For the purpose of automating the pattern generation process, this paper proposes the dynamic polygon generation (DPGen) algorithm that can generate convex polygonal pattern with any number of vertices in linear time. The DPGen algorithm generates a pattern dynamically for any number of drones which increases the scalability of the UAV swarm networks, increasing the magnitude of use-cases of the swarm. The DPGen algorithm contains a mechanism to use this algorithm in a decentralized manner while balancing the load on all the UAVs in the network. The usage of DPGen algorithm reduces the network traffic in the UAV swarm network by 78.26% and decreases the power requirement of the leader drone by 74.39%.

本文言語English
ホスト出版物のタイトル2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728173078
DOI
出版ステータスPublished - 2020 12
イベント2020 IEEE Globecom Workshops, GC Wkshps 2020 - Virtual, Taipei, Taiwan, Province of China
継続期間: 2020 12 72020 12 11

出版物シリーズ

名前2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

Conference

Conference2020 IEEE Globecom Workshops, GC Wkshps 2020
国/地域Taiwan, Province of China
CityVirtual, Taipei
Period20/12/720/12/11

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • ハードウェアとアーキテクチャ
  • ソフトウェア

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引用スタイル