Cross-Layer Framework for Energy Harvesting- LPWAN Resource Management Based on Fuzzy Cognitive Maps and Adaptive Glowworm Swarm Optimization for Smart Forest-Reference-Cited by-同舟云学术

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Cross-Layer Framework for Energy Harvesting- LPWAN Resource Management Based on Fuzzy Cognitive Maps and Adaptive Glowworm Swarm Optimization for Smart Forest

Published:2024-05-15 Issue:10 Volume:24 Page:17067-17079
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Hancong¹^ORCID,Wu Yin¹^ORCID,Ni Qiang²^ORCID,Liu Wenbo³^ORCID

Affiliation:

1. College of Information Science and Technology, Nanjing Forestry University, Nanjing, China

2. School of Computing and Communications, Lancaster University, Lancaster, InfoLab21, U.K

3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Jiangsu Provincial Government Scholarship for Overseas Studies

Qing Lan Project of Jiangsu Colleges

Innovation and Entrepreneurship Training Program for College Students in Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10530892/10491117.pdf?arnumber=10491117

Reference40 articles.

1. Forest 4.0: Digitalization of forest using the Internet of Things (IoT)

2. An overview of existing and promising technologies for national forest monitoring

3. Low-Power Wide-Area Networks: A Broad Overview of Its Different Aspects

4. NB-IoT Coverage and Sensor Node Connectivity in Dense Urban Environments: An Empirical Study

5. An Embedded Crowdsensing Unit for Mobile Urban Pollution Monitoring

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