Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks
Exchanging messages with stable connections in missions composed of multiple unmanned aerial vehicles (UAV) remains a challenge. The variations in UAV distances from each other, considering their individual trajectories, and the medium dynamic factors are important points to be addressed.In this con...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/13/4255 |
| _version_ | 1797529264340336640 |
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| author | Laura Michaella Batista Ribeiro Ivan Müller Leandro Buss Becker |
| author_facet | Laura Michaella Batista Ribeiro Ivan Müller Leandro Buss Becker |
| author_sort | Laura Michaella Batista Ribeiro |
| collection | DOAJ |
| description | Exchanging messages with stable connections in missions composed of multiple unmanned aerial vehicles (UAV) remains a challenge. The variations in UAV distances from each other, considering their individual trajectories, and the medium dynamic factors are important points to be addressed.In this context, to increase the stability of UAV-to-UAV (U2U) communication with link quality, this paper presents an interface manager (IM) that is capable of improving communication in multi-UAV networks.Given a predefined set of available individual wireless interfaces, the proposed IM dynamically defines the best interface for sending messages based on on-flight conditions sensed and calculated dynamically from the wireless medium. Different simulation scenarios are generated using a complex and realistic experimental setup composed of traditional simulators such as NS-3, Gazebo, and GzUAV. IEEE 802.11n 2.4 GHz and 802.11p 5 GHz interfaces are used for the IM selection. The IM performance is evaluated in terms of metrics from the medium-access-control (MAC) and physical layers, which aim to improve and maintain the connectivity between the UAVs during the mission, and from the application layer, which targets the reliability in the delivery of messages. The obtained results show that compared with the cases where a single interface is used, the proposed IM is able to increase the network throughput and presents the best proportion of transmitted and received packets, reception power (−60 dBm to −75 dBm), and loss (−80 dB to −85 dB), resulting in a more efficient and stable network connections. |
| first_indexed | 2024-03-10T10:11:18Z |
| format | Article |
| id | doaj.art-069aefa31e1e483392e6abd640b8aae1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:11:18Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-069aefa31e1e483392e6abd640b8aae12023-11-22T01:06:28ZengMDPI AGSensors1424-82202021-06-012113425510.3390/s21134255Communication Interface Manager for Improving Performance of Heterogeneous UAV NetworksLaura Michaella Batista Ribeiro0Ivan Müller1Leandro Buss Becker2Federal Institute of Amazonas, Campus Manaus—Distrito Industrial, Manaus 69075-351, AM, BrazilDepartment of Electrical Engineering (DELET), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, RS, BrazilDepartment of Automation and Systems (DAS), Federal University of Santa Catarina (UFSC), Florianopolis 88040-900, SC, BrazilExchanging messages with stable connections in missions composed of multiple unmanned aerial vehicles (UAV) remains a challenge. The variations in UAV distances from each other, considering their individual trajectories, and the medium dynamic factors are important points to be addressed.In this context, to increase the stability of UAV-to-UAV (U2U) communication with link quality, this paper presents an interface manager (IM) that is capable of improving communication in multi-UAV networks.Given a predefined set of available individual wireless interfaces, the proposed IM dynamically defines the best interface for sending messages based on on-flight conditions sensed and calculated dynamically from the wireless medium. Different simulation scenarios are generated using a complex and realistic experimental setup composed of traditional simulators such as NS-3, Gazebo, and GzUAV. IEEE 802.11n 2.4 GHz and 802.11p 5 GHz interfaces are used for the IM selection. The IM performance is evaluated in terms of metrics from the medium-access-control (MAC) and physical layers, which aim to improve and maintain the connectivity between the UAVs during the mission, and from the application layer, which targets the reliability in the delivery of messages. The obtained results show that compared with the cases where a single interface is used, the proposed IM is able to increase the network throughput and presents the best proportion of transmitted and received packets, reception power (−60 dBm to −75 dBm), and loss (−80 dB to −85 dB), resulting in a more efficient and stable network connections.https://www.mdpi.com/1424-8220/21/13/4255wireless networksUAVmobilityIEEE standardsmessage reliabilityconnection stability |
| spellingShingle | Laura Michaella Batista Ribeiro Ivan Müller Leandro Buss Becker Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks Sensors wireless networks UAV mobility IEEE standards message reliability connection stability |
| title | Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks |
| title_full | Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks |
| title_fullStr | Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks |
| title_full_unstemmed | Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks |
| title_short | Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks |
| title_sort | communication interface manager for improving performance of heterogeneous uav networks |
| topic | wireless networks UAV mobility IEEE standards message reliability connection stability |
| url | https://www.mdpi.com/1424-8220/21/13/4255 |
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