Learning Aided Joint Sensor Activation and Mobile Charging Vehicle Scheduling for Energy-Efficient WRSN-Based Industrial IoT
Author:
Affiliation:
1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
2. Department of Electrical and Computer Engineering, Concordia University, Montréal, QC, Canada
Funder
National Natural Science Foundation of China
Industry-University-Research Cooperation Fund project of ZTE
Postgraduate Research and Practice Innovation Program of NUAA
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/ielx7/25/10104191/09963701.pdf?arnumber=9963701
Reference49 articles.
1. Energy Provisioning in Wireless Rechargeable Sensor Networks
2. On the Performance of Multihop Cognitive Wireless Powered D2D Communications in WSNs
3. Energy-Efficient UAV Routing for Wireless Sensor Networks
4. Energy-Aware Multiple Mobile Chargers Coordination for Wireless Rechargeable Sensor Networks
5. Cooperative Wireless Power Transfer for Lifetime Maximization in Wireless Multihop Networks
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