Multiple Drones driven Hexagonally Partitioned Area Exploration:\n Simulation and Evaluation Article Swipe
Ayush Datta
,
Rahul Tallamraju
,
Kamalakar Karlapalem
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1906.00401
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1906.00401
In this paper, we simulated a distributed, cooperative path planning\ntechnique for multiple drones (~200) to explore an unknown region (~10,000\nconnected units) in the presence of obstacles. The map of an unknown region is\ndynamically created based on the information obtained from sensors and other\ndrones. The unknown area is considered a connected region made up of hexagonal\nunit cells. These cells are grouped to form larger cells called sub-areas. We\nuse long range and short range communication. The short-range communication\nwithin drones in smaller proximity helps avoid re-exploration of cells already\nexplored by companion drones located in the same subarea. The long-range\ncommunication helps drones identify next subarea to be targeted based on\nweighted RNN (Reverse nearest neighbor). Simulation results show that weighted\nRNN in a hexagonal representation makes exploration more efficient, scalable\nand resilient to communication failures.\n
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1906.00401
- https://arxiv.org/pdf/1906.00401
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2997574101
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W2997574101Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.1906.00401Digital Object Identifier
- Title
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Multiple Drones driven Hexagonally Partitioned Area Exploration:\n Simulation and EvaluationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-06-02Full publication date if available
- Authors
-
Ayush Datta, Rahul Tallamraju, Kamalakar KarlapalemList of authors in order
- Landing page
-
https://arxiv.org/abs/1906.00401Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1906.00401Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1906.00401Direct OA link when available
- Concepts
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Drone, Scalability, Computer science, Range (aeronautics), Representation (politics), Hexagonal crystal system, Path (computing), Distributed computing, Computer network, Engineering, Biology, Aerospace engineering, Politics, Crystallography, Law, Political science, Database, Genetics, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.information | 37 |
| abstract_inverted_index.short-range | 74 |
| abstract_inverted_index.distributed, | 6 |
| abstract_inverted_index.on\nweighted | 105 |
| abstract_inverted_index.communication | 126 |
| abstract_inverted_index.scalable\nand | 123 |
| abstract_inverted_index.weighted\nRNN | 114 |
| abstract_inverted_index.communication. | 72 |
| abstract_inverted_index.other\ndrones. | 42 |
| abstract_inverted_index.re-exploration | 82 |
| abstract_inverted_index.representation | 118 |
| abstract_inverted_index.hexagonal\nunit | 54 |
| abstract_inverted_index.is\ndynamically | 32 |
| abstract_inverted_index.already\nexplored | 85 |
| abstract_inverted_index.(~10,000\nconnected | 19 |
| abstract_inverted_index.planning\ntechnique | 9 |
| abstract_inverted_index.communication\nwithin | 75 |
| abstract_inverted_index.long-range\ncommunication | 95 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.15267234 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |