Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection
Junya Shiraishi, Anders E. Kal{\o}r, Federico Chiariotti and, Israel Leyva-Mayorga, Petar Popovski, Hiroyuki Yomo

TL;DR
This paper analyzes the timing of content-based wake-up signals in IoT sensor networks to optimize data freshness and energy efficiency, demonstrating significant energy savings and improved accuracy.
Contribution
It introduces a timing analysis for CoWu in IIoT, showing how wake-up timing impacts data freshness and energy consumption, with quantitative benefits over traditional scheduling.
Findings
CoWu improves data accuracy and freshness.
Energy consumption is reduced by about 75%.
Optimal wake-up timing balances reliability and timeliness.
Abstract
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…
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