A Machine Learning Assisted Method for Coverage Optimization in a Network of Mobile Sensors
Author:
Affiliation:
1. Department of Electrical & Computer Engineering, Concordia University, Montréal, Québec, Canada
2. Defence Research and Development Canada, Atlantic Research Center, Dartmouth, Nova Scotia, Canada
Funder
Defence Research and Development Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/4389054/09882395.pdf?arnumber=9882395
Cited by 4 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
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2. Machine Learning Supported Nano-Router Localization in WNSNs;Sakarya University Journal of Science;2023-06-30
3. The Coverage Improvement of the Wireless Sensor Network Based on the Parameters Optimized Honey Badger Algorithm;IEEE Access;2023
4. Reinforcement Learning-based Virtual Sensors Provision in Internet of Vehicles (IoV);2022 IEEE 21st International Symposium on Network Computing and Applications (NCA);2022-12-14
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