UAV Assisted Data Collection for Internet of Things: A Survey
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Abstract (arXiv)
Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural plant protection, environment monitoring and so on. With the development of UAV and sensor technologies, UAV assisted data collection for Internet of Things (IoT) has attracted increasing attentions. In this article, the scenarios and key technologies of UAV assisted data collection are comprehensively reviewed. First, we present the system model including the network model and mathematical model of UAV assisted data collection for IoT. Then, we review the key technologies including clustering of sensors, UAV data collection mode as well as joint path planning and resource allocation. Finally, the open problems are discussed from the perspectives of efficient multiple access as well as joint sensing and data collection. This article hopefully provides some guidelines and insights for researchers in the area of UAV assisted data collection for IoT.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2022.
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Citing papers per year: 2023: 3; 2024: 3; 2025: 3.
9 papers.
- 2023Reliable and Efficient Data Collection in UAV-based IoT Networkscited by 3
- 2023A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collectioncited by 2
- 2023Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networkscited by 1
- 2024ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvestingcited by 1
- 2024Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edgecited by 1
- 2024Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learningcited by 0
- 2025Hybrid Artificial Intelligence Strategies for Drone Navigationcited by 0
- 2025Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awarenesscited by 0
- 2025Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivitycited by 0
- 2025Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivity23 Nov 2025
- 2025Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness10 Jun 2025
- 2025Hybrid Artificial Intelligence Strategies for Drone Navigation8 Jan 2025
- 2024Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge17 Jul 2024
- 2024ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting17 May 2024
- 2024Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning16 Mar 2024
- 2023Reliable and Efficient Data Collection in UAV-based IoT Networks9 Nov 2023
- 2023Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks6 Sep 2023
- 2023A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection29 May 2023