Optimizing energy harvesting in wireless body area networks: A deep reinforcement learning approach to dynamic sampling-Reference-Cited by-同舟云学术

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Optimizing energy harvesting in wireless body area networks: A deep reinforcement learning approach to dynamic sampling

Published:2024-12 Issue: Volume:109 Page:157-175
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Mohammadi Razieh,Shirmohammadi Zahra

Funder

Shahid Rajaee Teacher Training University

Publisher

Elsevier BV

Reference55 articles.

1. A comprehensive review of wireless body area network;Hasan;Netw. Comput. Appl.,2019

2. Harvesting and energy aware adaptive sampling algorithm for guaranteeing self-sustainability in wireless sensor networks;Lee,2017

3. Sleep scheduling in energy harvesting wireless body area networks;Zhang;IEEE Commun. Mag.,2019

4. A dominating set-based sleep scheduling in energy harvesting WBANs;Zhang;IEEE Trans. Veh.,2021

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

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