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Positioning Algorithms for Surveillance Using Unmanned Aerial Vehicles
2011 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Surveillance is an important application for unmanned aerial vehicles (UAVs). The sensed information often has high priority and it must be made available to human operators as quickly as possible. Due to obstacles and limited communication range, it is not always possible to transmit the information directly to the base station. In this case, other UAVs can form a relay chain between the surveillance UAV and the base station. Determining suitable positions for such UAVs is a complex optimization problem in and of itself, and is made even more difficult by communication and surveillance constraints.

To solve different variations of finding positions for UAVs for surveillance of one target, two new algorithms have been developed. One of the algorithms is developed especially for finding a set of relay chains offering different trade-offs between the number of UAVsand the quality of the chain. The other algorithm is tailored towards finding the highest quality chain possible, given a limited number of available UAVs.

Finding the optimal positions for surveillance of several targets is more difficult. A study has been performed, in order to determine how the problems of interest can besolved. It turns out that very few of the existing algorithms can be used due to the characteristics of our specific problem. For this reason, an algorithm for quickly calculating positions for surveillance of multiple targets has been developed. This enables calculation of an initial chain that is immediately made available to the user, and the chain is then incrementally optimized according to the user’s desire.

Place, publisher, year, pages
Linköping: Linköping University Electronic Press, 2011. 140 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1476
Keyword [en]
Unmanned aerial vehicles, surveillance, communication relay, label- correcting, dual ascent, Steiner trees
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-66060 (URN)978-91-7393-200-4 (ISBN)oai:DiVA.org:liu-66060 (OAI)diva2:406913 (DiVA)
Presentation
2011-04-20, Alan Turing, House E, Campus Valla, Linköpings universitet, Linköping, 09:19 (English)
Opponent
Supervisors
Available from2011-03-29 Created:2011-03-02 Last updated:2011-04-13Bibliographically approved

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