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Author:
Olsson, Per-Magnus (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Kvarnström, Jonas (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology) (APD)
Doherty, Patrick (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Burdakov, Oleg (Linköping University, Department of Mathematics, Optimization ) (Linköping University, The Institute of Technology)
Holmberg, Kaj (Linköping University, Department of Mathematics, Optimization ) (Linköping University, The Institute of Technology)
Title:
Generating UAV Communication Networks for Monitoring and Surveillance
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, Department of Mathematics, Optimization
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)
Conference:
International Conference on Control, Automation, Robotics and Vision (ICARCV)
Publisher: IEEE conference proceedings
Pages:
1070-1077
Year of publ.:
2010
URI:
urn:nbn:se:liu:diva-59884
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59884
ISBN:
978-1-4244-7814-9
Subject category:
Computer Science
SVEP category:
Computer science
Keywords(en) :
Unmanned aerial vehicles, UAV surveillance, relay, communication, Steiner tree
Abstract(en) :

An important use of unmanned aerial vehicles is surveillance of distant targets, where sensor information must quickly be transmitted back to a base station. In many cases, high uninterrupted bandwidth requires line-of-sight between sender and transmitter to minimize quality degradation. Communication range is typically limited, especially when smaller UAVs are used. Both problems can be solved by creating relay chains for surveillance of a single target, and relay trees for simultaneous surveillance of multiple targets. In this paper, we show how such chains and trees can be calculated. For relay chains we create a set of chains offering different trade-offs between the number of UAVs in the chain and the chain’s cost. We also show new results on how relay trees can be quickly calculated and then incrementally improved if necessary. Encouraging empirical results for improvement of relay trees are presented.

Available from:
2010-09-29
Created:
2010-09-29
Last updated:
2013-08-29
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