Reinforcement learning-based charging cluster determination algorithm for optimal charger placement in wireless rechargeable sensor networks-Reference-Cited by-同舟云学术

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Reinforcement learning-based charging cluster determination algorithm for optimal charger placement in wireless rechargeable sensor networks

Published:2024-11 Issue: Volume:164 Page:103605
ISSN:1570-8705
Container-title:Ad Hoc Networks
language:en
Short-container-title:Ad Hoc Networks

Author:

Wang Haoran,Li Jinglin^ORCID,Xiao Wendong

Publisher

Elsevier BV

Reference39 articles.

1. CFMCRS: Calibration fuzzy-metaheuristic clustering routing scheme simultaneous in on-demand WRSNs for sustainable smart city;Fanian;Expert Syst. Appl.,2023

2. Energy-aware multiple mobile chargers coordination for wireless rechargeable sensor networks;Mo;IEEE Internet Things J.,2019

3. Multistep prediction-based adaptive dynamic programming sensor scheduling approach for collaborative target tracking in energy harvesting wireless sensor networks;Liu;IEEE Trans. Autom. Sci. Eng.,2021

4. Joint optimization of charging location and time for network lifetime extension in WRSNs;Nguyen;IEEE Trans. Green Commun. Netw.,2021

5. Novel wireless charging algorithms to charge mobile wireless sensor network by using reinforcement learning;Soni;SN Appl. Sci.,2019

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