An α-Fairness Approach to Balancing the Energy Consumption Among Sensors for UAV–IoT Systems-Reference-Cited by-同舟云学术

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An α-Fairness Approach to Balancing the Energy Consumption Among Sensors for UAV–IoT Systems

Published:2022-09-15 Issue:18 Volume:9 Page:17965-17978
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lin Xiao-Hui¹^ORCID,Bi Su-Zhi¹^ORCID,Cheng Nan²^ORCID,Dai Ming-Jun¹^ORCID,Wang Hui³

Affiliation:

1. Guangdong Provincial Engineering Center for Ubiquitous Computing and Intelligent Networking, College of Electronics and Information Engineering and the Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen University, Shenzhen, China

2. State Key Laboratory of Integrated Services Network and the School of Telecommunications Engineering, Xidian University, Xi’an, China

3. Shenzhen Institute of Information Technology, Shenzhen, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shenzhen City

Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Fundamental Research Funds for the Central Universities

Open Research Project Programme of the State Key Laboratory of Internet of Things for Smart City, University of Macau

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/ielx7/6488907/9881201/09748872.pdf?arnumber=9748872

Reference30 articles.

1. A Jain’s index perspective on ?-fairness resource allocation over slow fading channels;guo;IEEE Commun Lett,2013

2. Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives

3. Survey of Important Issues in UAV Communication Networks

4. Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities

5. Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications

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