Performance Analysis of Joint Information-Energy Coverage Probability in UAV Networks With Hybrid Energy Harvesting
The deployment of Internet of remote things (IoRT) devices in remote areas with insufficient communication infrastructure can employ the unmanned aerial vehicles (UAVs) for data collection. The previous works only considered the IoRT devices information coverage probability, but ignored the IoRT devices energy coverage probability in the UAV networks. This letter analyzes the joint information-energy coverage probability performance in UAV networks with hybrid energy harvesting (EH). Firstly, the closed-form expressions of the information coverage probability and the energy coverage probability are derived by utilizing the Laplace transform and the Campbell theorem, respectively. On this basis, the closed-form expression of the joint information-energy coverage probability is derived by the law of large numbers (LLN). Finally, the numerical results confirm the validity of the joint information-energy coverage probability performance.
Authors
- Katsuya Suto (ORCID: https://orcid.org/0000-0001-5576-4735)
- Ning Zhang (ORCID: https://orcid.org/0000-0002-8781-4925)
- Shichao Li (ORCID: https://orcid.org/0000-0001-6858-5031)
- Hongbin Chen (ORCID: https://orcid.org/0000-0003-4008-3704)
- Ruiye Bi
Institutions
- Hokkaido Information University (JP)
- Hokkaido University (JP)
- Guilin University of Electronic Technology (CN)
- University of Windsor (CA)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jiot.2025.3602665
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region
- National Natural Science Foundation of China
- Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology