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Increasing the autonomy of wireless sensor node by effective use of both DPM and DVFS methods

机译:通过有效地使用DPM和DVFS方法来增加无线传感器节点的自治性

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The use of ubiquitous computing devices like Wireless Sensor Networks (WSNs) has increased with an exponential growth in recent years, due its low-cost, portability, easy deployment, self-organization. Since WSNs are battery-powered devices, thus main challenge faced by designers is reduction of energy consumption in WSNs. This paper presents an effective implementation of Dynamic Power Manager (DPM) and Dynamic Voltage and Frequency Scaling (DVFS) technics to increase the autonomy of wireless sensor node by reducing dynamic power dissipation. Simulation with the application of hazardous gas detection using Capnet-PE tool indicates significant energy-saving, which allows us to evaluate and validate our approach for WSN.
机译:近年来,诸如无线传感器网络(WSN)之类的无处不在的计算设备的使用以其指数增长,低成本,可移植性,易于部署和自组织等特点迅速增长。由于WSN是电池供电的设备,因此设计人员面临的主要挑战是减少WSN的能耗。本文提出了动态电源管理器(DPM)和动态电压和频率缩放(DVFS)技术的有效实现,以通过减少动态功耗来增加无线传感器节点的自治性。使用Capnet-PE工具进行的有害气体检测应用的仿真表明,可以显着节省能源,这使我们能够评估和验证我们的WSN方法。

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