دانلود مقاله انگلیسی رایگان:الگوریتم شارژ تقاضایی مبتنی بر یادگیری تقویتی عمیق برای شبکه های حسگر قابل شارژ بی سیم - 2020
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  • A Deep Reinforcement Learning-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks A Deep Reinforcement Learning-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks
    A Deep Reinforcement Learning-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    A Deep Reinforcement Learning-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks


    ترجمه فارسی عنوان مقاله:

    الگوریتم شارژ تقاضایی مبتنی بر یادگیری تقویتی عمیق برای شبکه های حسگر قابل شارژ بی سیم


    منبع:

    Sciencedirect - Elsevier -© 2020 Published by Elsevier B.V.


    نویسنده:

    Xianbo Cao, Wenzheng Xu, Xuxun Liu, Jian Peng, Tang Liu


    چکیده انگلیسی:

    Wireless rechargeable sensor networks are widely used in many fields. However, the limited battery capacity of sensor nodes hinders its development. With the help of wireless energy transfer technology, employing a mobile charger to charge sensor nodes wirelessly has become a promising technology for prolonging the lifetime of wireless sensor networks. Considering that the energy consumption rate varies significantly among sensors, we need a better way to model the charging demand of each sensor, such that the sensors are able to be charged multiple times in one charging tour. Therefore, time window is used to represent charging demand. In order to allow the mobile charger to respond to these charging demands in time and transfer more energy to the sensors, we introduce a new metric: charging reward. This new metric enables us to measure the quality of sensor charging. And then, we study the problem of how to schedule the mobile charger to replenish the energy supply of sensors, such that the sum of charging rewards collected by mobile charger on its charging tour is maximized. The sum of the collected charging reward is subject to the energy capacity constraint on the mobile charger and the charging time windows of all sensor nodes. We first prove that this problem is NP-hard. Due to the complexity of the problem, then deep reinforcement learning technique is exploited to obtain the moving path for mobile charger. Finally, experimental simulations are conducted to evaluate the performance of the proposed charging algorithm, and the results show that the proposed scheme is very promising.
    Keywords: wireless rechargeable sensor networks | time window | mobile charging | deep reinforcement learning technique


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 29
    حجم فایل: 813 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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