Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges
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Abstract (arXiv)
The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intelligent connection of things". Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent things, 3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs's mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 1.
4 papers.
- 2025Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentationcited by 7
- 2026Optimizing Data Augmentation for Real-Time Small UAV Detection: A Lightweight Context-Aware Approachcited by 1
- 2021A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systemscited by 0
- 2025A Time-efficient Prioritised Scheduling Algorithm to Optimise Initial Flock Formation of Dronescited by 0
- 2026Optimizing Data Augmentation for Real-Time Small UAV Detection: A Lightweight Context-Aware Approach21 Apr 2026
- 2025A Time-efficient Prioritised Scheduling Algorithm to Optimise Initial Flock Formation of Drones22 Dec 2025
- 2025Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation27 Apr 2025
- 2021A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems11 May 2021