Algorithm for energy efficient inter-UAV collision avoidance

Abeywickrama, HV; Jayawickrama, BA; He, Y; Dutkiewicz, E

Algorithm for energy efficient inter-UAV collision avoidance

Abeywickrama, HV Jayawickrama, BA He, Y

Dutkiewicz, E

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Publication Type:: Conference Proceeding
Citation:: 2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017, 2017, 2018-January pp. 1 - 5
Issue Date:: 2017-07-01

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Field	Value	Language
dc.contributor.author	Abeywickrama, HV	en_US
dc.contributor.author	Jayawickrama, BA	en_US
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.date.issued	2017-07-01	en_US
dc.identifier.citation	2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017, 2017, 2018-January pp. 1 - 5	en_US
dc.identifier.isbn	9781509065141	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126438
dc.description.abstract	© 2017 IEEE. Unmanned Aerial Vehicles (UAV) are fast gaining popularity. Due to their many desired features, in the near future, UAVs will be an inevitable part of many fields. This increased use of UAVs, has given rise to the idea of multi-UAV systems, commonly known as UAV swarms, where a number of UAVs ranging from two to hundreds have to collaborate with each other and perform a common shared task or tasks. When sharing a common air space and flying in close proximity of each other, inter-UAV collision avoidance becomes an important factor in UAV swarms. Thus, for effective use of UAV swarms, it is essential to have an efficient inter-UAV collision avoidance mechanism. Although there are a number of suggested techniques, avoiding inter-UAV collisions while minimising the energy consumption of the UAV system is a challenge. In this paper, a Potential Field Method based algorithm to avoid collisions of a UAV system, considering the minimising of system energy usage, is suggested. We consider the energy consumption of a UAV system to depend on the distance travelled and the turns- A ngular changes, in trajectories. Our method reduces the angular changes in trajectories by an average of 36% and total travel distance by 6-8%. The total time taken to achieve targets is reduced by 3-14% depending on the scenario.	en_US
dc.relation.ispartof	2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017	en_US
dc.relation.isbasedon	10.1109/ISCIT.2017.8261200	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Algorithm for energy efficient inter-UAV collision avoidance	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. Unmanned Aerial Vehicles (UAV) are fast gaining popularity. Due to their many desired features, in the near future, UAVs will be an inevitable part of many fields. This increased use of UAVs, has given rise to the idea of multi-UAV systems, commonly known as UAV swarms, where a number of UAVs ranging from two to hundreds have to collaborate with each other and perform a common shared task or tasks. When sharing a common air space and flying in close proximity of each other, inter-UAV collision avoidance becomes an important factor in UAV swarms. Thus, for effective use of UAV swarms, it is essential to have an efficient inter-UAV collision avoidance mechanism. Although there are a number of suggested techniques, avoiding inter-UAV collisions while minimising the energy consumption of the UAV system is a challenge. In this paper, a Potential Field Method based algorithm to avoid collisions of a UAV system, considering the minimising of system energy usage, is suggested. We consider the energy consumption of a UAV system to depend on the distance travelled and the turns- A ngular changes, in trajectories. Our method reduces the angular changes in trajectories by an average of 36% and total travel distance by 6-8%. The total time taken to achieve targets is reduced by 3-14% depending on the scenario.

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http://hdl.handle.net/10453/126438