Joint Trust Analysis and Artificial Gorilla Troops Optimization for Performance Improvement in UAVs-Assisted Vehicular Network-Reference-Cited by-同舟云学术

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Joint Trust Analysis and Artificial Gorilla Troops Optimization for Performance Improvement in UAVs-Assisted Vehicular Network

Published:2024 Issue: Volume:12 Page:105924-105938
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Adil¹^ORCID,Ahmad Shabeer²^ORCID,Shahla Rizvi Sanam³^ORCID,Ali Ihsan⁴^ORCID,Ullah Asad¹^ORCID,Kwon Se Jin⁵^ORCID

Affiliation:

1. School of Information Engineering, Xi’an Eurasia University, Xi’an, Shaanxi, China

2. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

3. Raptor Interactive (Pty) Ltd., Centurion, South Africa

4. Department of Computer Science, Southeast Missouri State University, Cape Girardeau, MO, USA

5. Department of AI Software, Kangwon National University, Samcheok-si, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10620169.pdf?arnumber=10620169

Reference38 articles.

1. UAV-based Internet of Vehicles: A systematic literature review

2. A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks

3. A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook

4. An Energy-Efficient Collaborative Scheme for UAVs and VANETs for Dissemination of Real-Time Surveillance Data on Highways

5. Adaptive UAV-Assisted Geographic Routing With Q-Learning in VANET

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