# Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

arXiv: https://arxiv.org/abs/1812.06821 · HTML: https://mlsanity.com/paper/1812.06821/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Dec 2018.

## Built on by (most cited first, 5 of 5)

- [Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey](https://mlsanity.com/paper/2211.04324/) (2022)
- [Machine Learning Methods for Management UAV Flocks -- a Survey](https://mlsanity.com/paper/2108.13448/) (2021)
- [Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning](https://mlsanity.com/paper/2203.04311/) (2022)
- [AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation](https://mlsanity.com/paper/2506.01378/) (2025)
- [Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict](https://mlsanity.com/paper/2606.17119/) (2026)

## Abstract (arXiv)

Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the academia and industry in recent years. As an integration of the embedded systems with communication devices, computation capabilities and control modules, the UAV network could build a closed loop from data perceiving, information exchanging, decision making to the final execution, which tightly integrates the cyber processes into the physical devices. Therefore, the UAV network could be considered as a cyber physical system (CPS). Revealing the coupling effects among the three interacted components in this CPS system, i.e., communication, computation and control, is envisioned as the key to properly utilize all the available resources and hence improve the performance of the UAV networks. In this paper, we present a comprehensive survey on the UAV networks from a CPS perspective. Firstly, we respectively research the basics and advances with respect to the three CPS components in the UAV networks. Then we look inside to investigate how these components contribute to the system performance by classifying the UAV networks into three hierarchies, i.e., the cell level, the system level, and the system of system level. Further, the coupling effects among these CPS components are explicitly illustrated, which could be enlightening to deal with the challenges in each individual aspect. New research directions and open issues are discussed at the end of this survey. With this intensive literature review, we try to provide a novel insight into the state-of-the-art in the UAV networks.