Collision Free Energy Efficient Multipath UAV-2-GV Communication in VANET Routing Protocol

Mohamed Ayad Alkhafaji*, Nejood Faisal Abdulsattar, Mohammed Hasan Mutar, Ahmed H. Alkhayyat, Waleed Khalid Al-Azzawi, Fatima Hashim Abbas, Muhammet Tahir Guneser

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Vehicular Ad-Hoc Networks (VANETs) are extensively utilized in Intelligent Transportation Systems (ITS) for their various communication modes, including vehicle-to-vehicle and vehicle-to-infrastructure. VANETs are equipped with certain special characteristics such as dynamic mobility, high-speed vehicles, and so on. Both the transmission models are ineffective when it is applied to the high-speed vehicles. During transmission vehicles will transfer the information to the road side unit (RSU), but RSU deployment is the most challenging task. Due to improper deployment of RSU, deployment cost of the network gets increased, end-to-end delay get increased as well as it directly reduced the performance of packet delivery ratio and throughput calculation of the network. In order to overcome these drawbacks, Unmanned Aerial Vehicles (UAVs) are introduced in VANETs. In this paper, Collision Free Energy Efficient Multipath UAV-2-GV communication (CEM-UAVs) is proposed to improve the stability of the VANETs. This CEM-UAVs protocol is segmented into two parts; they are collision free path selection and energy efficient multipath UAV communication. Using UAVs-based data, transmission greatly reduces the delay and loss produced by the ground level traffic and congestion in the network. To analysis the performance of the proposed CEM-UAVs protocol, NS2 software is used. Four parameters are calculated to investigate the performance of the proposed CEM-UAVs protocol; they are end-to-end delay, packet delivery ratio, and number of UAVs count and throughput as well as it is compared with the earlier research works such as NC-UAVs and DP-UAVs. From the results it is proven that the proposed CEM-UAVs protocol produced 160–260 ms lower end-to-end delay, 8–10% higher packet delivery ratio, 100UAVs to 280UAVs lower UAVs count, and 1200–2000 Kbps higher throughput when compared with the earlier works NC-UAVs and DP-UAVs.

Original languageEnglish
Title of host publicationEvolution in Computational Intelligence - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing
Subtitle of host publicationTheory and Applications FICTA 2023
EditorsVikrant Bhateja, Xin-She Yang, Marta Campos Ferreira, Sandeep Singh Sengar, Carlos M. Travieso-Gonzalez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages375-389
Number of pages15
ISBN (Print)9789819967018
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023 - Cardiff, United Kingdom
Duration: 11 Apr 202312 Apr 2023

Publication series

NameSmart Innovation, Systems and Technologies
Volume370
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023
Country/TerritoryUnited Kingdom
CityCardiff
Period11/04/2312/04/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Collision free path selection
  • Energy efficient multipath communication
  • Unmanned Aerial Vehicles (UAVs)
  • Vehicular Ad-Hoc Networks (VANETs)

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