An extensible system simulator for intermittently-powered multiple-peripheral IoT devices

Tongda Wu, Lefan Zhang, Huazhong Yang, Yongpan Liu
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引用次数: 5

Abstract

Energy harvesting is an alternative to achieve maintenance-free IoT devices. However, the intermittent and low-intensity ambient power supply poses a great challenge to guarantee the quality of service (QoS) of these applications. Adequate QoS simulation is required to evaluate the system design before deployment. Unfortunately, existing simulators lack supports on neither system-level behaviors under power failure circumstances nor the modeling mechanism for peripheral functionality and energy-related parameters. This paper proposes a system-level simulator named AES to evaluate and assist the intermittently-powered system (IPS) design. Adopting a flexible energy message handling framework and an easily-configured virtual device interface, AES supports both functionality and energy-related behavior simulation of all hardware modules under intermittent power scenarios. A hardware prototype is established and validates that the deviation of AES is less than 6.4%, which is adequate for IoT applications. With AES, this paper also explores the impact and design space of the system parameters in an IPS and provides a group of design guidelines to improve the performance by 37.2% in average, which reveals the potential of AES on IPS design.
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用于间歇性供电的多外设物联网设备的可扩展系统模拟器
能量收集是实现免维护物联网设备的一种替代方案。然而,间歇性和低强度的环境电源对这些应用的服务质量(QoS)的保证提出了很大的挑战。在部署之前,需要充分的QoS仿真来评估系统设计。不幸的是,现有的模拟器既不支持电源故障情况下的系统级行为,也不支持外设功能和能源相关参数的建模机制。本文提出了一个系统级仿真器AES来评估和辅助间歇供电系统(IPS)的设计。AES采用灵活的能源消息处理框架和易于配置的虚拟设备接口,支持所有硬件模块在间歇性电源场景下的功能和与能源相关的行为模拟。建立了硬件原型,验证了AES的偏差小于6.4%,足以满足物联网应用。本文还利用AES探讨了系统参数对IPS的影响和设计空间,并提供了一组平均提高37.2%性能的设计准则,揭示了AES在IPS设计中的潜力。
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Making sense of intermittent energy harvesting Proceedings of the 6th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems Scaling configuration of energy harvesting sensors with reinforcement learning Backing out of backscatter for intermittent wireless networks Reconsidering batteries in energy harvesting sensing
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