报告详情
  1. 活动首页
  2. 报告清单
  3. 报告详情
Deep Reinforcement Learning-Based Hybrid Energy Harvesting and Adaptive Energy Management System for IoT-Enabled Wireless Sensor Networks
编号：109 访问权限：仅限参会人 更新：2026-11-10 16:47:32 浏览：7次 Online

报告开始：2026年11月20日 17:30（Asia/Kolkata）

报告时间：15min

所在会场：[S8] Signal Processing, RF and Communication Hardware/6G and Future Wireless Communication Systems [S8-1] Signal Processing, RF and Communication Hardware/6G and Future Wireless Communication Systems

演示文件

提示：该报告下的文件权限为仅限参会人，您尚未登录，暂时无法查看。

摘要
This paper introduces an innovative hybrid energy harvesting and adaptive energy management system (EMS) architecture that combines multi-source ambient energy harvesting, specifically photovoltaic (PV), radio-frequency (RF), piezoelectric, thermoelectric, and kinetic transducers; with a deep reinforcement learning (DRL)-based intelligent EMS for battery-free supported Internet of Things (IoT) wireless sensor networks (WSNs). The system framework is built around a hybrid energy storage subsystem composed of lithium-ion (Li-Ion) batteries and electric double-layer capacitors (EDLCs), which have been controlled through a Deep Q-Network (DQN) agent, whereby stochastic ambient energy availability has been imposed to achieve the lifetime objective function while respecting quality-of-service (QoS) guarantees. In particular, extensive simulations on MATLAB/Simulink and hardware-in-the-loop (HIL) validation over a Texas Instruments CC2652R platform shows that the proposed DRL-EMS achieves 38.4% improvement in life time extension and 22.6% decrease of energy waste compared with conventional rule-based and fuzzy logic EMS approach. Results establish the proposed system as a strong, scalable alternative for perennial IoT node execution in energy-restricted environments.
关键词
Energy Harvesting; Energy Management System; MPPT; Thermoelectric Generator; Piezoelectric Transducer; DC-DC Converter; State of Charge
报告人
MUTHUPERUMAL S
ASSOCIATE PROFESSOR K.Ramakrishnan College of Engineering；TRICHY - TAMILNADU

稿件作者
Aasheesh Shukla GLA University； Mathura
Jaswant Kumar Khatik MADHAV UNIVERSITY； Aburoad
Girish H Cambridge Institute of Technology,KR Puram, Bengaluru-560036
Thirugnanasambandham T India；Saveetha School of Engineering； Tamil Nadu； Saveetha Institute of Medical and Technical Sciences (SIMATS)；Chennai-602105
Anandakumar Haldorai Sri Eshwar College of Engineering
Dr. SivaramKrishnan M India；Coimbatore；School of Engineering and Emerging Technologies；Rathinam Global Deemed to be University
MUTHUPERUMAL S K.Ramakrishnan College of Engineering；TRICHY - TAMILNADU
发表评论
验证码 看不清楚，更换一张
全部评论
重要日期

  • 会议日期

    11月20日

    2026

    至

    11月22日

    2026

  • 10月31日 2026

    初稿截稿日期

  • 11月07日 2026

    提前注册日期

  • 11月22日 2026

    注册截止日期

主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
联系方式
登录查看完整联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询