ZigBee Sensor Network: A Study on Methods of Measuring Energy Consumption
Arrumm, Mark (2018)
Metropolia Ammattikorkeakoulu
2018
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2018100715750
https://urn.fi/URN:NBN:fi:amk-2018100715750
Tiivistelmä
The main aim of this project was to study the different methods of measuring energy consumption in embedded systems and energy harvesting methods. The objective was to use one of the methods to carry out tests and create the groundwork for further investigations and possibly optimization of energy consumption of ZigBee end nodes.
The measurements performed monitored the drained current from a ZigBee end node when configured to communicate with a ZigBee coordinator in Application Programming Interface (API) mode using the XCTU application to generate the API frames.
The results obtained from the measurements showed noticeable current variations in different communication phases from idle mode to receiving a data packet. Optimizing the energy consumption was beyond the scope of this project.
This study creates a good foundation for further research into optimizing the energy consumption of ZigBee end nodes in a ZigBee wireless network. The information can be useful for design engineers setting up mesh networks as majority of the work existing is based on theoretical studies and simulations.
The measurements performed monitored the drained current from a ZigBee end node when configured to communicate with a ZigBee coordinator in Application Programming Interface (API) mode using the XCTU application to generate the API frames.
The results obtained from the measurements showed noticeable current variations in different communication phases from idle mode to receiving a data packet. Optimizing the energy consumption was beyond the scope of this project.
This study creates a good foundation for further research into optimizing the energy consumption of ZigBee end nodes in a ZigBee wireless network. The information can be useful for design engineers setting up mesh networks as majority of the work existing is based on theoretical studies and simulations.