Intelligent Cross-Layer Routing Framework Based on D* Lite for Resilient Aerial Networks

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar328-333
Sayfa sayısı6
ISBN (Elektronik)9781665495127
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 - Los Angeles, United States
Süre: 30 May 20221 Haz 2022

Yayın serisi

AdıProceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022

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???event.eventtypes.event.conference???18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022
Ülke/BölgeUnited States
ŞehirLos Angeles
Periyot30/05/221/06/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

Finansman

ACKNOWLEDGMENT This study is funded by Istanbul Technical University, Department of Scientific Research Projects (ITU-BAP, MGA-2022-43816).

FinansörlerFinansör numarası
Department of Scientific Research Projects
Istanbul Teknik Üniversitesi
Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik ÜniversitesiMGA-2022-43816

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