Large networks of IoT devices, each consisting of one or more sensors, are being increasingly deployed for comprehensive real-time monitoring of cyber-physical systems. Such networks form an essential component of the emerging edge computing paradigm and are expected to increase in complexity and size. The physical phenomenon sensed by different sensors (within the same or different IoT devices in close proximity) often have relationships that makes them correlated. This is a form of proxy sensing that can be exploited for achieving better energy efficiency and higher robustness in monitoring. In this article, we explore how a set of sensors can optimize its data collection rates efficiently in a semi-distributed manner and yet provide the advantages of autonomy, relative isolation, and distributed control that is essential in a large-scale network.

中文翻译：

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利用代理传感对大规模传感器网络进行有效监控

物联网设备的大型网络，每一个都由一个或多个传感器组成，越来越多地被部署用于网络物理系统的全面实时监控。这样的网络构成了新兴边缘计算范式的重要组成部分，预计其复杂性和规模会增加。不同传感器（在靠近的相同或不同物联网设备内）感知的物理现象通常具有使它们相关的关系。这是一种形式代理感知这可用于实现更好的能源效率和更高的监测稳健性。在本文中，我们探讨了一组传感器如何以半分布式方式有效地优化其数据收集速率，同时提供在大规模网络中必不可少的自治、相对隔离和分布式控制的优势。