基于光伏获能的WSNs节点能量管理策略
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TP939

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国家"973"资助项目(2012CB215202);中央高校基本科研业务费专项项目(2019 CDCGTX302,2018CDPTCG0001/41,2017CDJZRPY0101);重庆市科技创新专项资助项目(cstc2017shmsA40003);重庆市教委科研资助项目(KJ1603206)。


Energy management strategy of WSNs node based on photovoltaic capacitance
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    摘要:

    针对WSNs中基于预测算法的能量分配与管理机制的不足,研究太阳能可充电无线传感器网络中能耗管理,提出基于历史获能的能量中性管理机制。设计了一种自适应跟踪太阳光的节点获能模型,进而构建了一种基于历史获能的能量中性管理机制,根据当前操作周期中由太阳能转化而来的可用能量,调节下一操作周期中节点工作的占空比,以解决节点太阳能获取与节点能耗的优化问题。理论分析与实验结果表明,提出的基于历史获能的能量中性管理机制,实现了太阳能电池板大小与节点能耗的最佳匹配,为太阳能可充电无线传感器网络中的能量获取及能耗管理提供了值得借鉴的解决方案。

    Abstract:

    To solve the problem of the deficiency in energy allocation and management mechanism based on prediction algorithm in WSNs, energy consumption management in solar chargeable wireless sensor networks is studied, and energy neutral management mechanism based on historical capacity is proposed. A node energy acquisition model for adaptive tracking of sunlight is designed and an energy neutral management mechanism based on historical energy acquisition is constructed. According to the available energy converted from solar energy in the current operation cycle, the duty cycle of the node in the next operation cycle is adjusted to solve the optimization problem of node solar energy acquisition and node energy consumption. The experimental results show that the proposed energy neutral management mechanism based on historical energy acquisition achieves the best match between the size of solar panels and energy consumption of nodes, and provides a valuable solution for energy acquisition and energy consumption management in solar chargeable wireless sensor networks.

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何进,仲元昌,孙利利,马天智.基于光伏获能的WSNs节点能量管理策略[J].重庆大学学报,2020,43(1):90-99.

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历史
  • 收稿日期:2019-05-30
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  • 在线发布日期: 2020-01-15
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