Enhancing Vehicular Network Performance through Integrated RSU and UAV Deployment-Reference-Cited by-同舟云学术

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Enhancing Vehicular Network Performance through Integrated RSU and UAV Deployment

Published:2023-11-06 Issue: Volume: Page:281-286
ISSN:
Container-title:2023 18th International Conference on Emerging Technologies (ICET)
language:
Short-container-title:

Author:

Ismail Muhammad¹,Shah Syed Luqman²,Muhammad Fazal¹,Shafiq Zeeshan³

Affiliation:

1. University of Engineering and Technology Mardan,Dept. of Electrical Engineering,Mardan,Pakistan

2. Ghulam Ishaq Khan Institute of Engineering and Technology,TeleCoN Research Lab,Topi,Pakistan

3. University of Engineering and Technology,National Center of AI,Peshawar,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10374480/10374484/10375046.pdf?arnumber=10375046

Reference25 articles.

1. Effective Data Collection Via Satellite-Routed Sensor System (SRSS) to Realize Global-Scaled Internet of Things

2. Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks

3. Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

4. An Innovative Clustering Hierarchical Protocol for Data Collection from Remote Wireless Sensor Networks Based Internet of Things Applications

5. Efficient Content Delivery in Urban Vehicular Networks: A Hybrid RSU-UAV Framework

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Line-of-Sight-Based Coordinated Channel Resource Allocation Management in UAV-Assisted Vehicular Ad Hoc Networks;IEEE Access;2024

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