Performance Analysis of Unmanned Aerial Vehicle Swarms Air-to-ground Networking under Distance-constrained Clustering Strategy

YAO Yuanyuan; WU Yunga; DONG Yaoyao; FENG Zhiyong; WEI Zhiqing

doi:10.11999/JEIT211312

Volume 44 Issue 3

Mar. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 951-959

YAO Yuanyuan, WU Yunga, DONG Yaoyao, FENG Zhiyong, WEI Zhiqing. Performance Analysis of Unmanned Aerial Vehicle Swarms Air-to-ground Networking under Distance-constrained Clustering Strategy[J]. Journal of Electronics & Information Technology, 2022, 44(3): 951-959. doi: 10.11999/JEIT211312

Citation:

YAO Yuanyuan, WU Yunga, DONG Yaoyao, FENG Zhiyong, WEI Zhiqing. Performance Analysis of Unmanned Aerial Vehicle Swarms Air-to-ground Networking under Distance-constrained Clustering Strategy[J]. Journal of Electronics & Information Technology, 2022, 44(3): 951-959. doi: 10.11999/JEIT211312

Citation:

YAO Yuanyuan, WU Yunga, DONG Yaoyao, FENG Zhiyong, WEI Zhiqing. Performance Analysis of Unmanned Aerial Vehicle Swarms Air-to-ground Networking under Distance-constrained Clustering Strategy[J]. Journal of Electronics & Information Technology, 2022, 44(3): 951-959. doi: 10.11999/JEIT211312

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Performance Analysis of Unmanned Aerial Vehicle Swarms Air-to-ground Networking under Distance-constrained Clustering Strategy

doi: 10.11999/JEIT211312

YAO Yuanyuan^{1, 3},
WU Yunga^{1, 3},
DONG Yaoyao^{1, 3},
FENG Zhiyong^{2
,
,},
WEI Zhiqing²

1.
School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China
2.
Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
3.
Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing 100101, China

Funds: Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund (L192022), The Science and Technology Project of Beijing Municipal Education Commission (KM202011232002), Beijing Natural Science Foundation-Jointly Funded Project by the Municipal Education Commission (KZ201911232046), The Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education (KFKT-2020105)

Received Date: 2021-11-23
Accepted Date: 2022-01-05
Rev Recd Date: 2022-01-03

Available Online: 2022-01-27

Publish Date: 2022-03-28

Abstract

Abstract

A scenario of Unmanned Aerial Vehicle (UAV) assisted energy-constrained low-power Internet of Things (IoT) nodes for data transmission is considered, to address the problem of UAV coverage overlapped caused by the traditional Matérn Cluster Process (MCP) modeling, a Matérn Cluster under Distance Constraint (MCDC) strategy is proposed. The strategy uses the Matérn cluster process with distance constraints to model the locations of UAVs and IoT nodes, and achieves a significant reduction in redundant coverage. Under the MCDC strategy, the energy-constrained IoT nodes first harvest energy from the radio frequency signal sent by the UAV, and then use the harvested energy to transmit information to the UAV. The transmission probability of the IoT nodes, the outage performance, and the network throughput are analyzed; The time allocation ratio of the harvesting phase, the transmission power of the UAV, and the impact of the density of IoT nodes on the network performance are measured. Finally, the theoretical results are verified by simulation.
- Unmanned Aerial Vehicle (UAV) swarm,
- Distance constraint,
- Energy harvesting,
- Low-power internet of things,
- Air-to-ground networking,
- Stochastic geometry

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References(24)

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