UAV Automation Control System Based on an Intelligent Sensor Network Article Swipe
With the widespread use of UAVs, it is gradually difficult for single UAV to meet the needs of increasingly complex scenarios. At the same time, the problems of low autonomy and high dependence on control stations in central UAV cluster networks are gradually highlighted. In this paper, we analyze the theoretical conditions of network topology establishment and network connectivity, design a series of UAV distributed cluster automation control algorithm frameworks, and achieve certain research results, taking the distributed clusters of flight self-organizing networks as the background and using mathematical tools such as algebraic graph theory and random geometry to build a vibration sensor array model based on multiple intelligent sensor management. Based on this, a distributed connectivity maintenance algorithm based on the importance of nodes is designed to realize the “self-healing” of the flight’s self-organizing network. This study also improves the Mavlink flight control communication protocol customization and Zigbee wireless networking mode design to solve the UAV swarm communication link collision problem. Compared with the existing distributed spectrum estimation-based node importance algorithm, the proposed algorithm further analyzes the topological changes caused by the removal of associated edges by failed nodes and the reconstruction of new associated edges between neighboring nodes, so that the theoretical results are closer to the actual topological dynamics of the flight self-organizing network.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/7143194
- https://downloads.hindawi.com/journals/js/2022/7143194.pdf
- OA Status
- hybrid
- Cited By
- 4
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292560606
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4292560606Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2022/7143194Digital Object Identifier
- Title
-
UAV Automation Control System Based on an Intelligent Sensor NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-21Full publication date if available
- Authors
-
Feng Jia, Yang SongList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/7143194Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/js/2022/7143194.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/js/2022/7143194.pdfDirect OA link when available
- Concepts
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Wireless sensor network, Distributed computing, Automation, Computer science, Node (physics), Network topology, Computer network, Real-time computing, Topology (electrical circuits), Engineering, Structural engineering, Electrical engineering, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Zigbee | 148 |
| abstract_inverted_index.actual | 209 |
| abstract_inverted_index.caused | 180 |
| abstract_inverted_index.closer | 206 |
| abstract_inverted_index.design | 59, 152 |
| abstract_inverted_index.failed | 188 |
| abstract_inverted_index.flight | 80, 142, 214 |
| abstract_inverted_index.nodes, | 199 |
| abstract_inverted_index.paper, | 46 |
| abstract_inverted_index.random | 96 |
| abstract_inverted_index.sensor | 102, 109 |
| abstract_inverted_index.series | 61 |
| abstract_inverted_index.single | 11 |
| abstract_inverted_index.taking | 75 |
| abstract_inverted_index.theory | 94 |
| abstract_inverted_index.Mavlink | 141 |
| abstract_inverted_index.achieve | 71 |
| abstract_inverted_index.analyze | 48 |
| abstract_inverted_index.between | 197 |
| abstract_inverted_index.central | 37 |
| abstract_inverted_index.certain | 72 |
| abstract_inverted_index.changes | 179 |
| abstract_inverted_index.cluster | 39, 65 |
| abstract_inverted_index.complex | 19 |
| abstract_inverted_index.control | 34, 67, 143 |
| abstract_inverted_index.further | 175 |
| abstract_inverted_index.network | 53, 57 |
| abstract_inverted_index.realize | 128 |
| abstract_inverted_index.removal | 183 |
| abstract_inverted_index.results | 204 |
| abstract_inverted_index.Compared | 162 |
| abstract_inverted_index.analyzes | 176 |
| abstract_inverted_index.autonomy | 29 |
| abstract_inverted_index.clusters | 78 |
| abstract_inverted_index.designed | 126 |
| abstract_inverted_index.dynamics | 211 |
| abstract_inverted_index.existing | 165 |
| abstract_inverted_index.geometry | 97 |
| abstract_inverted_index.improves | 139 |
| abstract_inverted_index.multiple | 107 |
| abstract_inverted_index.network. | 135, 216 |
| abstract_inverted_index.networks | 40, 82 |
| abstract_inverted_index.problem. | 161 |
| abstract_inverted_index.problems | 26 |
| abstract_inverted_index.proposed | 173 |
| abstract_inverted_index.protocol | 145 |
| abstract_inverted_index.research | 73 |
| abstract_inverted_index.results, | 74 |
| abstract_inverted_index.spectrum | 167 |
| abstract_inverted_index.stations | 35 |
| abstract_inverted_index.topology | 54 |
| abstract_inverted_index.wireless | 149 |
| abstract_inverted_index.algebraic | 92 |
| abstract_inverted_index.algorithm | 68, 118, 174 |
| abstract_inverted_index.collision | 160 |
| abstract_inverted_index.difficult | 9 |
| abstract_inverted_index.gradually | 8, 42 |
| abstract_inverted_index.vibration | 101 |
| abstract_inverted_index.algorithm, | 171 |
| abstract_inverted_index.associated | 185, 195 |
| abstract_inverted_index.automation | 66 |
| abstract_inverted_index.background | 85 |
| abstract_inverted_index.conditions | 51 |
| abstract_inverted_index.dependence | 32 |
| abstract_inverted_index.flight’s | 133 |
| abstract_inverted_index.importance | 122, 170 |
| abstract_inverted_index.networking | 150 |
| abstract_inverted_index.scenarios. | 20 |
| abstract_inverted_index.widespread | 2 |
| abstract_inverted_index.distributed | 64, 77, 115, 166 |
| abstract_inverted_index.frameworks, | 69 |
| abstract_inverted_index.intelligent | 108 |
| abstract_inverted_index.maintenance | 117 |
| abstract_inverted_index.management. | 110 |
| abstract_inverted_index.neighboring | 198 |
| abstract_inverted_index.theoretical | 50, 203 |
| abstract_inverted_index.topological | 178, 210 |
| abstract_inverted_index.connectivity | 116 |
| abstract_inverted_index.highlighted. | 43 |
| abstract_inverted_index.increasingly | 18 |
| abstract_inverted_index.mathematical | 88 |
| abstract_inverted_index.communication | 144, 158 |
| abstract_inverted_index.connectivity, | 58 |
| abstract_inverted_index.customization | 146 |
| abstract_inverted_index.establishment | 55 |
| abstract_inverted_index.reconstruction | 192 |
| abstract_inverted_index.self-organizing | 81, 134, 215 |
| abstract_inverted_index.estimation-based | 168 |
| abstract_inverted_index.“self-healing” | 130 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5083478587 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I133270356 |
| citation_normalized_percentile.value | 0.8463532 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |