Heuristic Adaptation for Intermittently Powered Batteryless Sensors

Heuristic Adaptation for Intermittently Powered Batteryless Sensors
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间歇供电无电池传感器的启发式适应

DOI:
10.1145/3551670.3551678
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发表时间:
2022
期刊:
GetMobile: Mobile Computing and Communications
影响因子:
--
通讯作者:
Hester, Josiah
Hester, Josiah
中科院分区:
--
文献类型:
--
作者:
Bakar, Abu;Ross, Alexander G.;Sinan Yildirim, Kasim;Hester, Josiah

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无电池传感设备从周围环境中获取能量,以执行传感、计算和通信。这些设备的核心挑战是保持有用性,尽管不稳定,随机或不规则的能量可用性,这会导致不一致的执行,服务丢失和电源故障。基于可用或预测的功率/能量来调整执行(降级或升级)似乎有希望避免电源故障,满足最后期限或增加吞吐量。然而,由于资源有限和当地信息有限,决定什么以及何时适应是具有挑战性的。本文探讨了间歇供电的计算机的能量感知适应的基本原理,并提出了启发式的适应机制,在运行时动态调整程序的复杂性,使更高的传感器覆盖率和吞吐量。虽然我们的目标是无电池,间歇供电,资源受限的传感器,但我们看到所有能量收集设备的一般应用。
Battery-free sensing devices harvest energy from their surrounding environment to perform sensing, computation, and communication. A core challenge for these devices is maintaining usefulness despite erratic, random, or irregular energy availability, which causes inconsistent execution, loss of service, and power failures. Adapting execution (degrading or upgrading) based on available or predicted power/energy seems promising to stave off power failures, meet deadlines, or increase throughput. However, due to constrained resources and limited local information, deciding what and when exactly to adapt is challenging. This article explores the fundamentals of energy-aware adaptation for intermittently powered computers and proposes heuristic adaptation mechanisms to dynamically modulate the program complexity at run-time to enable higher sensor coverage and throughput. While we target battery-free, intermittently powered, resource-constrained sensors, we see a general application to all energy harvesting devices.
DOI: --
发表时间: 2015-07
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影响因子: --
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