Learning Algorithms for Complete Targets Coverage in RF-Energy Harvesting Networks-Reference-Cited by-同舟云学术

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Learning Algorithms for Complete Targets Coverage in RF-Energy Harvesting Networks

Published:2022-03 Issue:3 Volume:71 Page:3229-3240
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Li Chuyu¹^ORCID,Chin Kwan-Wu²^ORCID,Yang Changlin³^ORCID

Affiliation:

1. Research Center of Smart Transportation, Zhejiang Laboratory, Hangzhou, China

2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia

3. School of Software Engineering, Sun Yat-Sen University, Guangzhou, China

Funder

National Key Research and Development Program of China

Key Research and Development Program of Zhejiang Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9735425/09681341.pdf?arnumber=9681341

Reference35 articles.

1. Life time maximization in the Wireless Sensor Network with energy harvesting

2. Complete Targets Coverage in Wireless Sensor Networks With Energy Transfer

3. Complete Target Coverage in Radio Frequency and Solar-Powered Sensor Networks

4. A coverage-aware energy replenishment scheme for wireless rechargeable sensor networks

5. Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint Data Upload and Targets Coverage in Solar-Powered IIoT Networks;IEEE Transactions on Industrial Informatics;2024-07

2. On the interest of artificial intelligence approaches in solving the IoT coverage problem;Ad Hoc Networks;2024-01

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