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Component-Level Datapath Merging in System-Level Design of Wireless Sensor Node Controllers for FPGA-Based Implementations

机译:无线传感器节点控制器的系统级设计中基于FPGA的实现中的组件级数据路径合并

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Wireless Sensor Networks (WSNs) are relatively new and challenging research area for embedded design automation. Engineering a WSN node hardware is a difficult job as the design must satisfy several constraints. Among these constraints, overall energy consumption and node size, are the two most significant constraints. WSN node platforms have until recently been designed using off-the-shelf low-power microprocessors (MCUs), even though energy profile of these MCUs is not suitable for ultra low-power sensor nodes. On the other hand, WSN-specific hardware accelerators have also been proposed that have excellent energy profile but lack in flexibility, need higher design efforts and have huge non-recurring engineering (NRE) costs. In this work, we propose an automated system level design flow for an intermediate approach, based on the concept of data path merging (DPM) where several hardware accelerators (called micro-tasks) share a common customized data path, to have an improvement in flexibility and silicon area with possible increase in dynamic power consumption for the control/processing part of the sensor node targeted for field programmable gate array (FPGA)-based implementation. Our experiments show that component-level DPM yields to savings from 20%, to 75% for various FPGA resources like I/O ports, area for combinational and sequential logic, and static power consumption.
机译:对于嵌入式设计自动化,无线传感器网络(WSN)是相对较新且具有挑战性的研究领域。设计WSN节点硬件是一项艰巨的工作,因为设计必须满足多个约束。在这些约束中,总体能耗和节点大小是两个最重要的约束。直到最近,WSN节点平台还是使用现成的低功耗微处理器(MCU)设计的,即使这些MCU的能量分布不适合超低功耗传感器节点。另一方面,还提出了特定于WSN的硬件加速器,这些加速器具有出色的能量分布,但缺乏灵活性,需要更多的设计工作,并且具有巨大的非经常性工程(NRE)成本。在这项工作中,我们基于数据路径合并(DPM)的概念,提出了一种中间方法的自动化系统级设计流程,其中几个硬件加速器(称为微任务)共享一个通用的自定义数据路径,以改进针对基于现场可编程门阵列(FPGA)的传感器节点的控制/处理部分,其灵活性和硅面积可能会增加动态功耗。我们的实验表明,对于各种FPGA资源(例如I / O端口,组合逻辑和顺序逻辑的面积以及静态功耗),组件级DPM的节省从20%降低到75%。

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