Journal of Terahertz Science and Electronic Information Technology , Volume. 20, Issue 4, 393(2022)

WRSN charging path planning algorithm for improved Q-Learning

LIU Yang1,*... WANG Jun1,2 and WU Yunpeng11 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(10)

    [2] [2] LIN C,WU G W,MOHAMMAD S,et al. Clustering and splitting charging algorithms for large scaled wireless rechargeable sensor networks[J]. The Journal of Systems & Software, 2016,113(1):381-394.

    [3] [3] HE L,KONG L,GU Y,et al. Evaluating the on-demand mobile charging in Wireless Sensor Networks[J]. IEEE Transactions on Mobile Computing, 2015,14(9):1861-1875.

    [6] [6] LI F Y,QIN J H,ZHENG W X. Distributed Q-Learning based online optimization algorithm for unit commitment and dispatch in smart grid[J]. IEEE Transactions on Cybernetics, 2019,50(9):4146-4156.

    [7] [7] YUAN Y L, YU Z L, GU Z H, et al. A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning[J]. Knowledge-Based Systems, 2019,175(1):107-117.

    [9] [9] NISIOTI E,THOMOS N. Fast Q-learning for improved finite length performance of irregular repetition slotted ALOHA[J]. IEEE Transactions on Cognitive Communications and Networking, 2020,6(2):844-857.

    [10] [10] XIAO L, XU D J, XIE C X, et al. Cloud storage defense against advanced persistent threats: a prospect theoretic study[J]. IEEE Journal on Selected Areas in Communications, 2017,35(3):534-544.

    [11] [11] DABBAGHJAMANESH M, MOEINI A, KAVOUSI-FARD A. Reinforcement learning-based load forecasting of electric vehicle charging station using Q-learning technique[J]. IEEE Transactions on Industrial Informatics, 2021,17(6):4229-4237.

    [12] [12] NAJEEB N, DETWEILER C. Extending Wireless Rechargeable Sensor Network life without full knowledge[J]. Sensors(Basel,Switzerland), 2017,17(7):200-227.

    [16] [16] TONY A, HIRYANTO L. A review on energy harvesting and storage for rechargeable wireless sensor networks[J]. IOP Conference Series:Materials Science and Engineering, 2019,42(8):386-474.

    Tools

    Get Citation

    Copy Citation Text

    LIU Yang, WANG Jun, WU Yunpeng1. WRSN charging path planning algorithm for improved Q-Learning[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(4): 393

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Dec. 24, 2020

    Accepted: --

    Published Online: Aug. 12, 2022

    The Author Email: Yang LIU (1666356620@qq.com)

    DOI:10.11805/tkyda2020729

    Topics