首页> 外文期刊>International journal of electronics >Investigation of wireless sensor node power consumption profile powered by heterogeneous hybrid energy harvesters with EPDD management algorithm
【24h】

Investigation of wireless sensor node power consumption profile powered by heterogeneous hybrid energy harvesters with EPDD management algorithm

机译:基于EPDD管理算法的异构混合能量采集器供电的无线传感器节点功耗曲线研究

获取原文
获取原文并翻译 | 示例
           

摘要

Node lifetime is the major challenge in the WSN design, which is directly related to the power consumption optimisation. Therefore, there is a necessity to investigate the node power profile so that the hardware designers will have a full picture about the system demand in an early stage of the design. Likewise, it helps the software designers in developing suitable energy-aware operating/routing protocols. This paper profiles an enhanced wireless sensor node called 'WSN_3_HHEH' power consumption powered by heterogeneous hybrid energy harvesting and equipped with an improved energy-aware Event-Priority-Driven Dissemination (EPDD) algorithm. The extensive real-world empirical power profiling measurements for each unit and node system level during active and sleep modes are presented, which it provides data on the wireless sensor node architectural design that is applicable for low-power and IoT applications. The results point out that within the WSN_3_HHEH the RF transceiver consumed the highest power of 24 mW, followed by the MCU with 7.5 mW, and the sensor module with 0.16 mW throughout the active period. During the sleeping period however, the MCU unit consumed a noticeable amount of power of 1.8 mW compared to the other sensor node units.
机译:节点寿命是WSN设计中的主要挑战,这直接关系到功耗优化。因此,有必要研究节点电源配置文件,以便硬件设计人员在设计的早期阶段就可以全面了解系统的需求。同样,它可以帮助软件设计人员开发合适的能源感知操作/路由协议。本文介绍了一种增强的无线传感器节点,称为“ WSN_3_HHEH”,该节点由异构混合能量收集提供动力,并配备了改进的能量感知事件优先级驱动传播(EPDD)算法。给出了在活动和睡眠模式下每个单元和节点系统级别的广泛的实际经验功率分析测量结果,它提供了适用于低功率和物联网应用的无线传感器节点架构设计数据。结果指出,在整个激活期间,RF收发器在WSN_3_HHEH内消耗的最大功率为24 mW,其次是MCU的7.5 mW,传感器模块的0.16 mW。然而,在休眠期间,与其他传感器节点单元相比,MCU单元消耗的功率明显为1.8 mW。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号