Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band...

Area of Science:

• Electrical Engineering
• Computer Science
• Wireless Communication

Background:

• Internet of Things (IoT) necessitates energy-efficient communication in distributed sensor networks.
• Wake-up technologies are crucial for reducing wireless sensor node energy consumption.
• Indoor wireless sensor deployment faces challenges from signal fading and reflections.

Purpose of the Study:

• To analyze and compare the performance of two low-frequency (LF) amplifier-based wake-up receiver (WuRx) architectures.
• To evaluate WuRx performance based on sensitivity, power consumption, and package error rate (PER).
• To investigate the impact of indoor environments on WuRx performance for wireless sensor network construction.

Main Methods:

• Analytical modeling, simulation, and experimental studies were employed to compare WuRx architectures.
• The developed WuRx operates at 868 MHz using on-off-keying (OOK) with address detection.
• Indoor testing measured signal strength and PER using received signal strength indicator (RSSI) across various rooms and distances.

Main Results:

• Performance analysis focused on sensitivity, power consumption, and package error rate (PER).
• The WuRx demonstrated a wake-up packet (WuPt) detection probability of approximately 90% within an indoor distance of 34 meters.
• System factors affecting performance were critically compared and analyzed.

Conclusions:

• The developed WuRx architectures show promise for reliable and energy-efficient indoor wireless sensor networks.
• The study provides valuable insights into the practical performance of WuRx in challenging indoor environments.
• Effective wake-up technologies are essential for the advancement of IoT applications.