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Automatic Power Model Generation for Sensor Network Simulator

机译:传感器网络模拟器的自动功率模型生成

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Energy consumption estimation in sensor network is a critical process for network lifetime estimation before actual deployment. Energy consumption can be estimated by simulating the sensor network with a power model. Power model is the key component for the accurate estimation. However, the power model is not publicly accessible and it is not easy to generate accurate fine-grain power model. In this paper we proposed a simplified but yet accurate power model for AVR-based sensor nodes. Also, we developed an automated power model generation tool. The tool generates an instruction-level power model that can be connected to sensor network simulators. We model the current consumption of ATmega128 instruction set which is the most widely used processor in sensor node. Loading, execution, and control of the measurement framework are managed by the tool. Using the tool, we can generate power models of various sensor nodes using ATmega128 as their processor. Experimental result shows that our tool successfully generated accurate power models of various sensor nodes including Mica2.
机译:传感器网络中的能量消耗估计是在实际部署之前的网络寿命估计的关键过程。通过使用电源模型模拟传感器网络可以估计能量消耗。功率模型是准确估计的关键组件。但是,电源模型无法公开访问,并且不容易产生精确的细粒功率模型。在本文中,我们提出了一种基于AVR的传感器节点的简化但准确的功率模型。此外,我们开发了一种自动化电源模型生成工具。该工具生成可连接到传感器网络模拟器的指令级功率模型。我们模拟了Atmega128指令集的当前消耗,这是传感器节点中最广泛使用的处理器。加载,执行和控制测量框架由工具管理。使用该工具,我们可以使用Atmega128作为其处理器生成各种传感器节点的电源模型。实验结果表明,我们的工具成功地生成了各种传感器节点的准确功率模型,包括MICA2。

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