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DRDC: Deep reinforcement learning based duty cycle for energy harvesting body sensor node

  • Published:2023-12 Issue: Volume:9 Page:1707-1719
  • ISSN:2352-4847
  • Container-title:Energy Reports
  • language:en
  • Short-container-title:Energy Reports

Author:

Mohammadi Razieh,Shirmohammadi Zahra

Publisher

Elsevier BV

Subject

General Energy

Reference47 articles.

1. Adaptive dynamic duty cycle mechanism for energy efficient medium access control in wireless multimedia sensor networks;Ahmed;Trans. Emerg. Telecommun. Technol.,2021

2. Energy-efficiency maximization of self-sustained wireless body area sensor networks;Amjad;IEEE Sens. Lett.,2019

3. Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning;Aoudia,2017

4. Auction-based time resource allocation for energy harvesting WBAN;Badri,2020

5. EEM-EHWSN: Enhanced energy management scheme in energy harvesting wireless sensor networks;Bengheni;Wirel. Netw.,2019

Cited by 3 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. EADS-EHWSNs: Efficient Energy-Based Adaptive Duty Cycle Scheme for Energy-Harvested Wireless Sensor Networks;2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS);2023-10-25

2. Duty-Cycle Optimization Method for Improving Battery-Powered DC Sensor Node Lifetime in Wireless Sensor Networks;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

3. Development of multi-objective cognitive radio network with energy harvesting for medical data transmission;Peer-to-Peer Networking and Applications;2023-07-08
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