Abstract
Unmanned Aerial Vehicles (UAVs) are steadily replacing conventional manned aerial vehicles in multitude of tasks. Many of those tasks can be performed more efficiently by using a coordination between a team of UAVs rather than a single UAV. In this paper problem of cooperative area coverage using team of UAVs is addressed. Digital pheromones are used to convey information about search area. UAVs communicate indirectly by depositing and sensing digital pheromones which exist in pheromone map. Two approaches for path planning using pheromone maps are proposed. First approach is based on genetic algorithm, whereas second one relies on roulette wheel selection. Both approaches are evaluated in terms of distance required to cover given percentage of the area.
Translated title of the contribution | Multi-agent search strategy based on digital pheromones for UAVs |
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Original language | Turkish |
Title of host publication | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 233-236 |
Number of pages | 4 |
ISBN (Electronic) | 9781509016792 |
DOIs | |
Publication status | Published - 20 Jun 2016 |
Event | 24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016 |
Publication series
Name | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
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Conference
Conference | 24th Signal Processing and Communication Application Conference, SIU 2016 |
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Country/Territory | Turkey |
City | Zonguldak |
Period | 16/05/16 → 19/05/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.