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Performance Analysis of Addressing Mechanisms in Inter-Operable IoT Device with Low-Power Wake-Up Radio.

Taewon Song¹, Taeyoon Kim²

¹IoT Connectivity Standard Team, Chief Technology Officer, LG Electronics, 19, Yangjae-daero 11-gil, Seocho-gu, Seoul 06772, Korea.

Sensors (Basel, Switzerland)

|November 27, 2019

Summary

Low-power wake-up radio (WUR) can significantly reduce energy consumption in Internet of Things (IoT) devices. This study analyzes WUR addressing mechanisms to optimize performance for practical IoT applications.

Keywords:

IEEE 802.11ba bloom filter low-power wake-up radio power saving

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Area of Science:

Computer Science
Electrical Engineering
Wireless Communication

Background:

Internet of Things (IoT) technology is experiencing exponential growth across various sectors.
The proliferation of IoT devices leads to significant energy consumption challenges.
Low-power wake-up radio (WUR) offers a potential solution for reducing IoT device power usage by enabling sleep modes.

Purpose of the Study:

To introduce and analyze various addressing mechanisms for IoT devices equipped with WUR.
To evaluate the performance of different WUR addressing mechanisms in practical environments.
To identify optimal addressing strategies for enhancing WUR efficiency in IoT networks.

Main Methods:

Development and simulation of novel addressing mechanisms for WUR-enabled IoT devices.
Performance analysis based on key metrics: wake-up time, false positive probability, and power/energy consumption.
Comparative evaluation of addressing mechanisms under simulated practical IoT scenarios.

Main Results:

Identified distinct performance trade-offs among different WUR addressing mechanisms.
Quantified the impact of addressing strategies on wake-up latency and false alarm rates.
Demonstrated significant power and energy savings potential through optimized addressing schemes.

Conclusions:

The choice of addressing mechanism critically impacts the efficiency of WUR in IoT devices.
Optimized addressing strategies are essential for maximizing the benefits of WUR in reducing IoT energy consumption.
This research provides a foundation for selecting appropriate WUR addressing mechanisms for diverse IoT applications.