数据流,空间物理计算

Á. Cassinelli, D. Saakes
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引用次数: 11

摘要

支持低功耗广域网(LPWAN)的收发器的最新硬件改进使得连接数百米甚至公里外的小型电池供电设备成为可能。在本文中,我们提出了一个充分利用这种新技术的物理计算范式。空间物理计算(SPC)不仅利用了通常用于TUI和施工套件的自然操作,而且还在创建、测试和调整分布式智能传感器/执行器网络的过程中集成了必要的移动(围绕建筑物或城市)。整个系统是一组(无限)独立数据处理节点的组合,支持事件驱动的数据流编程方案。我们在几个例子中展示了这样的网络如何通过直观的物理动作来部署空间编程,并讨论了空间物理计算的独特品质和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Flow, Spatial Physical Computing
Latest hardware improvements on transceivers supporting Low Power Wide Area Networks (LPWAN) make it feasible to connect small battery powered devices hundred of meters or even km away. In this paper, we propose a physical computing paradigm fully exploiting this novel technology. Spatial physical computing (SPC) leverages not only natural manipulation typically used on TUI and construction kits but also integrates the necessary deambulation (around a building or a city) in the process of creating, testing and tuning a distributed smart sensor/actuator network. The overall system is a compound of (an unlimited) set of independent data-processing nodes supporting an event-driven data-flow programming scheme. We demonstrate in a few examples how such networks can be deployed Spatially programmed - through intuitive physical actions, and discuss the unique qualities and challenges of Spatial Physical Computing.
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