Unmanned Aerial Vehicles (UAV) Networking Algorithms: Communication, Control, and AI-Based Approaches
This paper focuses on algorithms and technologies for unmanned aerial vehicles (UAVs) networking across different fields of applications. Given the limitations of UAVs in both computations and communications, UAVs usually need algorithms for either low latency or energy efficiency. In addition, cove...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/5/244 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This paper focuses on algorithms and technologies for unmanned aerial vehicles (UAVs) networking across different fields of applications. Given the limitations of UAVs in both computations and communications, UAVs usually need algorithms for either low latency or energy efficiency. In addition, coverage problems should be considered to improve UAV deployment in many monitoring or sensing applications. Hence, this work firstly addresses common applications of UAV groups or swarms. Communication routing protocols are then reviewed, as they can make UAVs capable of supporting these applications. Furthermore, control algorithms are examined to ensure UAVs operate in optimal positions for specific purposes. AI-based approaches are considered to enhance UAV performance. We provide either the latest work or evaluations of existing results that can suggest suitable solutions for specific practical applications. This work can be considered as a comprehensive survey for both general and specific problems associated with UAVs in monitoring and sensing fields. |
|---|---|
| ISSN: | 1999-4893 |