论文标题
查询基于内容的唤醒的时间分析，以实现信息性的物联网数据收集
Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection
论文作者
论文摘要
信息新鲜度和高能效率是服务工业互联网（IIOT）应用程序的传感器节点的关键要求，在该应用程序中，水槽节点必须在控制外部元素之前收集信息的数据。基于拉的沟通是一种有趣的方法，可以优化信息新鲜度和节省浪费能量。为此，我们应用了基于内容的唤醒（COWU），其中接收器可以在接收到唤醒信号时观察信息性数据的一个子集。在这种情况下，唤醒信号的时机起着重要作用：早期传输导致数据收集的可靠性很高，但是收到的数据可能会因截止日期而过时，而后来的传输可确保更高的感官数据的及时性，但是有些节点可能无法在截止日期之前传达其数据。这封信调查了使用Cowu进行数据收集的时机，并表征了COWU的增益。获得的数值结果表明，COWU提高了准确性，同时将能源消耗降低了约75％，相对于旋转蛋白计划。
Information freshness and high energy-efficiency are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node must collect informative data before a deadline to control an external element. Pull-based communication is an interesting approach for optimizing information freshness and saving wasteful energy. To this end, we apply Content-based Wake-up (CoWu), in which the sink can activate a subset of nodes observing informative data at the time that wake-up signal is received. In this case, the timing of the wake-up signal plays an important role: early transmission leads to high reliability in data collection, but the received data may become obsolete by the deadline, while later transmission ensures a higher timeliness of the sensed data, but some nodes might not manage to communicate their data before the deadline. This letter investigates the timing for data collection using CoWu and characterizes the gain of CoWu. The obtained numerical results show that CoWu improves accuracy, while reducing energy consumption by about 75% with respect to round-robin scheduling.
