Mobility and Resource Allocation with Intelligent Clustering in UAVs Assisted VANETs

Sarmad Nozad Mahmood, F. Al-Dolaimy, Ahmed Alkhayyat, Sameer Alani, Mohamed Ayad Alkhafaji, Fatima Hashim Abbas, Muhammet Tahir Guneser, Ali Alsalamy, Cihat Seker

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

In the past decade, there has been significant development and utilization of Unmanned Aerial Vehicles (UAVs) in Vehicular Ad Hoc Networks (VANETs) across various applications. The integration of UAVs in VANETs has provided vehicles with enhanced performance by enabling communication through an aerial medium, thereby bypassing ground-level obstacles. Efficient management of mobility and network resources becomes crucial when dealing with a large number of highly dynamic vehicles. To address this, the proposed approach in this paper is Mobility and Resource Allocation with Intelligent Clustering in UAVs-assisted VANETs (MRAIC-UAVs). The key components of the proposed approach include the network model, mobility model, clustering strategy, and UAVs Cluster Head (CH) selection process. The selection of CHs is based on the evaluation of parameters such as residual energy, UAVs mobility, UAVs degree difference, distance, and UAVs stability. This approach significantly improves network energy efficiency and packet delivery ratio. The simulation is conducted using OMNET++ with the SUMO mobility generator, and a comparison is made with earlier models such as PRO-UAVs and RJEDC-UAVs. The performance analysis considers parameters such as packet delivery ratio, end-to-end delay, energy efficiency, and energy consumption. The simulation results demonstrate that the proposed MRAIC-UAVs approach achieves higher energy efficiency and packet delivery ratio while exhibiting lower end-to-end delay and energy consumption compared to earlier approaches.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar566-571
Sayfa sayısı6
ISBN (Elektronik)9798350339369
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023 - Bhubaneswar, India
Süre: 9 Haz 202311 Haz 2023

Yayın serisi

Adı2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023

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???event.eventtypes.event.conference???2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023
Ülke/BölgeIndia
ŞehirBhubaneswar
Periyot9/06/2311/06/23

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© 2023 IEEE.

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