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IoT Enabled UAV: Network Architecture and Routing Algorithm

delete2019-04-01
delete131
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OA
AI
Q
Qixun Zhang
M
Menglei Jiang
Z
Zhiyong Feng *
W
Wei Li
张玮 cover
张玮 (Wei Zhang)
苗盼 cover
苗盼 (Miao Pan)
DOI:10.1109/JIOT.2018.2890428delete
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Abstract

Abstract

En 中文
Unmanned aerial vehicles (UAVs) can be deployed efficiently to provide high quality of service for Internet of Things (IoT). By using cooperative communication and relay technologies, a large swarm of UAVs can enlarge the effective coverage area of IoT services via multiple relay nodes. However, the low latency service requirement and the dynamic topology of UAV network bring in new challenges for the effective routing optimization among UAVs. In this paper, a layered UAV swarm network architecture is proposed and an optimal number of UAVs is analyzed. Furthermore, a low latency routing algorithm (LLRA) is designed based on the partial location information and the connectivity of the network architecture. Finally, the performance of the proposed LLRA is verified by numerical results, which can decrease the link average delay and improve the packet delivery ratio in contrast to traditional routing algorithms without layered architecture.
Keywords:
Internet of Things (IoT)
network architecture
routing optimization
unmanned aerial vehicle (UAV)
AI Summary

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Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

N
Northern Illinois University
Scholars:
2.2K
Papers: 2.1K
Citations: 3.4K
B
beijing university of posts & telecommunications
Scholars:
1.4W
Papers: 1.2W
Citations: 9
M
ministry of education - china
Scholars:
2.5W
Papers: 1.0W
Citations: 13
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