NIAINov 13, 2021

Networking of Internet of UAVs: Challenges and Intelligent Approaches

arXiv:2111.07078v119 citations
Originality Synthesis-oriented
AI Analysis

It addresses networking problems for I-UAV systems to improve mission safety and efficiency, but it is incremental as it reviews and categorizes existing challenges and approaches.

This article analyzes challenges in Internet of UAV (I-UAV) networking, categorizing them into QoS-driven, QoE-driven, and situation-aware networking, and discusses intelligent approaches to address these issues, including integration with high altitude platforms (HAPs) to enhance scalability.

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 platforms (HAPs), this article gives an overview of the integrated HAP and I-UAV networks and presents the corresponding networking challenges and intelligent approaches.

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