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2020 | OriginalPaper | Buchkapitel

Navigation of Autonomous Swarm of Drones Using Translational Coordinates

verfasst von : Jawad N. Yasin, Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila

Erschienen in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

This work focuses on an autonomous swarm of drones, a multi-agent system, where the leader agent has the capability of intelligent decision making while the other agents in the swarm follow the leader blindly. The proposed algorithm helps with cost cutting especially in the multi-drone systems, i.e., swarms, by reducing the power consumption and processing requirements of each individual agent. It is shown that by applying a pre-specified formation design with feedback cross-referencing between the agents, the swarm as a whole can not only maintain the desired formation and navigate but also avoid collisions with obstacles and other drones. Furthermore, the power consumed by the nodes in the considered test scenario, is reduced by 50% by utilising the proposed methodology.

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Titel: Navigation of Autonomous Swarm of Drones Using Translational Coordinates
verfasst von: Jawad N. Yasin
Sherif A. S. Mohamed
Mohammad-Hashem Haghbayan
Jukka Heikkonen
Hannu Tenhunen
Juha Plosila
Verlag: Springer International Publishing
Buch: Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection
Print ISBN: 978-3-030-49777-4

Electronic ISBN: 978-3-030-49778-1

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-49778-1_28

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