ASR4IoT

Implementation of paper which deals with dynamic sample rate adaptation for IoT

Requirements

Initial requirements are as follows

• ..

Usage

python main.py

• Parameter (You can modify these parameters in the main.py file)

  • Size of moving average window, default=32
  • Width of Bollinger Bands, default=1
  • Maximum waiting period, default=5
  • Weight of the dynamic estimation, default=1

• Output

  • ..

Reference

U. Kulau, J. van Balen, S. Schildt, F. Büsching, and L. Wolf, "Dynamic sample rate adaptation for long-term IoT sensing applications," in Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on, 2016, pp. 271-276: IEEE.

Data

Home Office AirPi - Indoor climate measurements using an AirPi, a Raspberry Pi shield kit https://www.kaggle.com/mvolkerts/home-office-airpi