Networking of Internet of UAVs: Challenges and Intelligent Approaches
Peng Yang, Xianbin Cao, Tony Q. S. Quek, and Dapeng Oliver Wu

TL;DR
This paper reviews the challenges in Internet of UAVs networking, categorizes them into QoS, QoE, and situation-aware issues, and discusses intelligent solutions, including integration with high altitude platforms.
Contribution
It classifies I-UAV networking challenges into three categories and explores intelligent approaches, including the integration with high altitude platforms, to enhance network scalability and performance.
Findings
Identifies key challenges in QoS, QoE, and situation-aware networking for I-UAVs.
Analyzes the impact of these challenges on mission safety and efficiency.
Provides an overview of intelligent solutions and integration strategies with HAPs.
Abstract
Internet of unmanned aerial vehicle (I-UAV) networks promise to accomplish sensing and transmission tasks quickly, robustly, and cost-efficiently via effective cooperation among UAVs. To achieve the promising benefits, the crucial I-UAV networking issue should be tackled. This article argues that I-UAV networking can be classified into three categories, quality-of-service (QoS) driven networking, quality-of-experience (QoE) driven networking, and situation aware networking. Each category of networking poses emerging challenges which have severe effects on the safe and efficient accomplishment of I-UAV missions. This article elaborately analyzes these challenges and expounds on the corresponding intelligent approaches to tackle the I-UAV networking issue. Besides, considering the uplifting effect of extending the scalability of I-UAV networks through cooperating with high altitude…
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Taxonomy
TopicsUAV Applications and Optimization · Video Surveillance and Tracking Methods · Vehicular Ad Hoc Networks (VANETs)
MethodsAttentive Walk-Aggregating Graph Neural Network
