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.

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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

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article

Performance Analysis of Joint Information-Energy Coverage Probability in UAV Networks With Hybrid Energy Harvesting

Katsuya Suto, Ning Zhang, Shichao Li, Hongbin Chen et al.
IEEE Internet of Things Journal
Energy Harvesting in Wireless Networks
article

Performance Analysis of Joint Information-Energy Coverage Probability in UAV Networks With Hybrid Energy Harvesting

Katsuya Suto, Ning Zhang, Shichao Li, Hongbin Chen, Ruiye Bi
article en

Abstract

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.

IEEE Internet of Things Journal
Hokkaido Information University (JP), Hokkaido University (JP), Guilin University of Electronic Technology (CN), University of Windsor (CA)
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
Affordable and clean energy
Openalex Percentile: Top 79%
Energy Harvesting in Wireless Networks
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Performance Analysis of Joint Information-Energy Coverage Probability in UAV Networks With Hybrid Energy Harvesting — Katsuya Suto, Ning Zhang, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS