Energy Efficiency Analysis of BLE Heart Rate Bioimplant Sensors with Wake-Up Radios (WuRs)

This repository contains simulation models and power consumption analysis scripts for evaluating the energy efficiency of Bluetooth Low Energy (BLE) heart rate bioimplant sensors integrated with Wake-Up Radios (WuRs). The focus is on three configurations:

1. Standalone Duty-Cycled BLE
2. Always-On WuR Integrated with BLE
3. Duty-Cycled WuR Integrated with BLE

The scripts facilitate simulation, power computation, and energy comparison to identify the most energy-efficient configuration for BLE-enabled bioimplant sensors.

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Repository Structure

File Name	Description
dutyCycled_WuR.m	MATLAB script for simulating the Duty-Cycled WuR Integrated BLE Sensor. It models periodic wake-ups and wake-up signal (WuS) detection to optimize energy consumption.
alwaysOnWuR.m	MATLAB script for simulating the Always-On WuR Integrated BLE Sensor. The WuR continuously listens for WuS to activate the BLE module.
dutyCycledBLE	MATLAB script for simulating the Standalone Duty-Cycled BLE Sensor. BLE alternates between active communication and sleep states to conserve energy.
dcw_powerCompute.py	Python script for computing power consumption of the Duty-Cycled WuR Integrated BLE Sensor. Outputs power and energy usage based on operational states.
aow_powerCompute.py	Python script for computing power consumption of the Always-On WuR Integrated BLE Sensor. Analyzes energy usage for continuous listening and BLE activations.
dcb_powerCompute.py	Python script for computing power consumption of the Standalone Duty-Cycled BLE Sensor. Captures energy trends based on periodic wake-ups and transmissions.
energyComparison.py	Python script to compute and plot cumulative energy consumption for all three configurations. It compares the total energy usage and visualizes energy efficiency over time.

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Dependencies

To run the simulations and analysis scripts, the following software and libraries are required:

1. MATLAB:

   • Version R2019a through R2021b.
   • Communications Toolbox™ Library for the Bluetooth® Protocol is required.

2. Python:

   • Version 3.8 or higher.
   • Required Python Libraries:
     • matplotlib (for plotting)
     • pandas (for CSV handling)
     • numpy (for calculations)

Install the Python libraries using:

pip install matplotlib pandas numpy

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Contributors

Samuel Kodi - [email protected] Ferdinand Katsriku - [email protected]

License

This project is licensed under the MIT License. See the LICENSE file for details.

References

For more details, refer to the associated research manuscript: Kodi, S., & Katsriku, F. "Software Simulation Analysis of Integrating a Wake-Up Radio with a Bluetooth Low Energy Heart Rate Implant Sensor."