Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection

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 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.