An adaptive, balanced and energy efficient clustering mechanism for UAV networks
Unmanned aerial vehicles (UAVs) are widely used in many fields, both civilian and military. Mostly mini UAVs are used in civilian applications which are preferred both in terms of affordability and availability. However, these vehicles are insufficient for some applications when they are used alone....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Pamukkale University
2021-04-01
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| Series: | Pamukkale University Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/pajes/issue/61143/908911 |
| _version_ | 1828025488422993920 |
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| author | Harun Emre Kıran Sedat Gormus |
| author_facet | Harun Emre Kıran Sedat Gormus |
| author_sort | Harun Emre Kıran |
| collection | DOAJ |
| description | Unmanned aerial vehicles (UAVs) are widely used in many fields, both civilian and military. Mostly mini UAVs are used in civilian applications which are preferred both in terms of affordability and availability. However, these vehicles are insufficient for some applications when they are used alone. This inadequacy is often observed in mini-UAVs having limited capacity in terms of energy storage and payloads. As a solution to this challenge, swarms of networked mini UAVs have been proposed. Thus, the UAVs in such networks are assigned with different tasks to accomplish the overall mission. While such UAV networks have many advantages, they also come with challenges. These challenges include limited on-board energy storage, low power and lossy wireless communication interface, and limited useful payload carrying capability. In this study, a new adaptive, balanced and energy efficient clustering mechanism has been proposed for such UAV networks. |
| first_indexed | 2024-04-10T13:01:28Z |
| format | Article |
| id | doaj.art-3eeccab7a63d44c9ba60326632b77b93 |
| institution | Directory Open Access Journal |
| issn | 1300-7009 2147-5881 |
| language | English |
| last_indexed | 2024-04-10T13:01:28Z |
| publishDate | 2021-04-01 |
| publisher | Pamukkale University |
| record_format | Article |
| series | Pamukkale University Journal of Engineering Sciences |
| spelling | doaj.art-3eeccab7a63d44c9ba60326632b77b932023-02-15T16:13:07ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812021-04-01272220228218An adaptive, balanced and energy efficient clustering mechanism for UAV networksHarun Emre Kıran0Sedat Gormus1HITIT UNIVERSITYKARADENIZ TECHNICAL UNIVERSITYUnmanned aerial vehicles (UAVs) are widely used in many fields, both civilian and military. Mostly mini UAVs are used in civilian applications which are preferred both in terms of affordability and availability. However, these vehicles are insufficient for some applications when they are used alone. This inadequacy is often observed in mini-UAVs having limited capacity in terms of energy storage and payloads. As a solution to this challenge, swarms of networked mini UAVs have been proposed. Thus, the UAVs in such networks are assigned with different tasks to accomplish the overall mission. While such UAV networks have many advantages, they also come with challenges. These challenges include limited on-board energy storage, low power and lossy wireless communication interface, and limited useful payload carrying capability. In this study, a new adaptive, balanced and energy efficient clustering mechanism has been proposed for such UAV networks.https://dergipark.org.tr/tr/pub/pajes/issue/61143/908911unmanned aerial vehicles networkcluster head selectionwireless sensor networksenergy efficiencytopology stabilityi̇nsansız hava araçları ağıküme başı seçimikablosuz algılayıcı ağlarenerji verimliliğitopoloji kararlılığı |
| spellingShingle | Harun Emre Kıran Sedat Gormus An adaptive, balanced and energy efficient clustering mechanism for UAV networks Pamukkale University Journal of Engineering Sciences unmanned aerial vehicles network cluster head selection wireless sensor networks energy efficiency topology stability i̇nsansız hava araçları ağı küme başı seçimi kablosuz algılayıcı ağlar enerji verimliliği topoloji kararlılığı |
| title | An adaptive, balanced and energy efficient clustering mechanism for UAV networks |
| title_full | An adaptive, balanced and energy efficient clustering mechanism for UAV networks |
| title_fullStr | An adaptive, balanced and energy efficient clustering mechanism for UAV networks |
| title_full_unstemmed | An adaptive, balanced and energy efficient clustering mechanism for UAV networks |
| title_short | An adaptive, balanced and energy efficient clustering mechanism for UAV networks |
| title_sort | adaptive balanced and energy efficient clustering mechanism for uav networks |
| topic | unmanned aerial vehicles network cluster head selection wireless sensor networks energy efficiency topology stability i̇nsansız hava araçları ağı küme başı seçimi kablosuz algılayıcı ağlar enerji verimliliği topoloji kararlılığı |
| url | https://dergipark.org.tr/tr/pub/pajes/issue/61143/908911 |
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