Fetching Ecosystem Monitoring Data in Extreme Areas via a Drone-Enabled Internet of Remote Things-Reference-Cited by-同舟云学术

Fetching Ecosystem Monitoring Data in Extreme Areas via a Drone-Enabled Internet of Remote Things

Published:2022-12-15 Issue:24 Volume:9 Page:25052-25067
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Minghu¹^ORCID,Zhang Lixun²,Zhao Changming²,Jin Rui³^ORCID,Guo Jianwen³^ORCID,Li Xin⁴^ORCID

Affiliation:

1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China

2. School of Life Sciences, Lanzhou University, Lanzhou, China

3. Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

4. National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China

Funder

Strategic Priority Research Program of the Chinese Academy of Science

NSFC

Science and Technology Program of Gansu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9973413/09845702.pdf?arnumber=9845702

Reference43 articles.

1. Gas Hydrates in the Qilian Mountain Permafrost, Qinghai, Northwest China

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4. Response Delay Optimization in Mobile Edge Computing Enabled UAV Swarm

5. Experimental investigation of aerial–ground network communication towards geospatially large-scale structural health monitoring

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