UAV–Assisted Joint Wireless Power Transfer and Data Collection Mechanism for Sustainable Precision Agriculture in 5G

The limited battery capacity of sensor nodes (SNs) is one of the challenges for achieving sustainable precision agriculture in 5G. When SNs run out of energy, the data center will not be able to grasp the information of the environment, and the corresponding decisions and actions will not be performed. To solve this problem, this study presents a framework for charging SNs and collecting sensing data using unmanned aerial vehicles. The problems of cluster head (CH) election and path planning are considered at the same time to maximize charging efficiency in a way that the lifetime of SNs can be prolonged. Moreover, ${K}$K-means-based CH and charging position selection algorithm and ACO-based charging path-planning algorithm are proposed to optimize charging planning of the 3-D environment. Simulation results show that the proposed mechanism can minimize the number of CHs and maximize the remaining energy of SNs.

• Publication year

  2022

• Venue

  IEEE Micro

• Publication date

  2022-01-01

• Fields of study

  Agricultural and Food Sciences, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/mm.2021.3122553
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• No references are available for this paper.

• Drone-Based Data Acquisition for Digital Agriculture: A Survey of Wireless Network Applications

  2026cites this paper
• Dynamic Cluster Head Selection Algorithm for IoT-Based Smart Agriculture: An Energy Efficient Approach

  2025cites this paper
• Multi-Objective Optimization for Data Collection in UAV-Assisted Agricultural IoT

  2024cites this paper
• Dynamic Charging Strategy Optimization for UAV-Assisted Wireless Rechargeable Sensor Networks Based on Deep Q-Network

  2024cites this paper
• A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

  2024cites this paper
• The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review

  2024cites this paper
• Novel Technologies towards the Implementation and Exploitation of “Green” Wireless Agriculture Sensors

  2024cites this paper
• Digitalization of agriculture for sustainable crop production: a use-case review

  2024cites this paper
• Analysis of Energy Harvesting in Beyond Diagonal-RIS-Enabled WSNs

  2024cites this paper
• Maximal Weighted Coverage Deployment of UAV-Enabled Rechargeable Visual Sensor Networks

  2023cites this paper
• Wireless power transfer with unmanned aerial vehicles: State of the art and open challenges

  2023cites this paper
• Survey of Intelligent Agricultural IoT Based on 5G

  2023cites this paper
• Fresh data collection for UAV-assisted IoTs based on proximity-remote region collaboration

  2023cites this paper
• An Online Resource Management for Obscured Sensors in Agriculture using UAV

  2023cites this paper
• Towards Sustainable Economic Zones with UAV-assisted Real-time Energy Replenishment in Wireless Rechargeable Sensor Networks

  2023cites this paper