Abstract
Flying Ad Hoc Networks (FANETs) need reliable intra-communication to work effectively during the missions they participate in, especially in contested environments. Furthermore, choosing shortest paths for all e2e links causes over-utilized hot spot nodes in the network. Thus, these hot spots have increased traffic that leads to more collisions around them. Consequently, these central nodes become easy targets for malicious attackers whose aim is to harm the network's performance as efficiently as possible. To address this, we propose a routing framework (CentAir) that utilizes eigenvector centrality measures of the network nodes to fine-tune their transmission power. Then, it employs D* Lite path-finding algorithm to determine optimal e2e routes under varying network load. As a result, CentAir achieves up to 132% more channel capacity of e2e links compared to shortest path routing algorithms. Additionally, it shows 41% less throughput degradation when jammers are present.
Original language | English |
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Title of host publication | Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 328-333 |
Number of pages | 6 |
ISBN (Electronic) | 9781665495127 |
DOIs | |
Publication status | Published - 2022 |
Event | 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 - Los Angeles, United States Duration: 30 May 2022 → 1 Jun 2022 |
Publication series
Name | Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
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Conference
Conference | 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
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Country/Territory | United States |
City | Los Angeles |
Period | 30/05/22 → 1/06/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- D
- Flying Ad Hoc Networks
- Graph Theory
- Lite Algorithm
- Routing
- Software-Defined Networks