Hardware/software approach for code synchronization in low-power multi-core sensor nodes

2014 Design, Automation & Test in Europe Conference & Exhibition (DATE) Pub Date : 2014-03-24 DOI:10.7873/DATE.2014.181

R. Braojos, A. Dogan, I. Beretta, G. Ansaloni, David Atienza Alonso

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引用次数: 22

Abstract

Latest embedded bio-signal analysis applications, targeting low-power Wireless Body Sensor Nodes (WBSNs), present conflicting requirements. On one hand, bio-signal analysis applications are continuously increasing their demand for high computing capabilities. On the other hand, long-term signal processing in WBSNs must be provided within their highly constrained energy budget. In this context, parallel processing effectively increases the power efficiency of WBSNs, but only if the execution can be properly synchronized among computing elements. To address this challenge, in this work we propose a hardware/software approach to synchronize the execution of bio-signal processing applications in multi-core WBSNs. This new approach requires little hardware resources and very few adaptations in the source code. Moreover, it provides the necessary flexibility to execute applications with an arbitrarily large degree of complexity and parallelism, enabling considerable reductions in power consumption for all multi-core WBSN execution conditions. Experimental results show that a multi-core WBSN architecture using the illustrated approach can obtain energy savings of up to 40%, with respect to an equivalent single-core architecture, when performing advanced bio-signal analysis.

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低功耗多核传感器节点代码同步的硬件/软件方法

最新的嵌入式生物信号分析应用，针对低功耗无线身体传感器节点(WBSNs)，提出了相互矛盾的要求。一方面，生物信号分析应用对高计算能力的要求不断提高。另一方面，wbns中的长期信号处理必须在其高度受限的能量预算范围内提供。在这种情况下，并行处理有效地提高了wbsn的功率效率，但前提是执行可以在计算元素之间适当同步。为了解决这一挑战，我们提出了一种硬件/软件方法来同步多核wbsn中生物信号处理应用程序的执行。这种新方法只需要很少的硬件资源，并且在源代码中只需要很少的调整。此外，它还提供了必要的灵活性，可以以任意大的复杂度和并行性执行应用程序，从而大大降低了所有多核WBSN执行条件下的功耗。实验结果表明，在进行高级生物信号分析时，使用所述方法的多核WBSN架构相对于等效的单核架构可以节省高达40%的能量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)

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