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Data Transmission Efficiency in Bluetooth Low Energy Versions.

Patricio Bulić1, Gašper Kojek2, Anton Biasizzo3

  • 1Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia. pa3cio@fri.uni-lj.si.

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Summary
This summary is machine-generated.

Analyzing Bluetooth Low Energy (BLE) power consumption and throughput is crucial for optimizing Internet-of-Things (IoT) devices. This study reveals connection interval impacts throughput differently across BLE transactions, guiding efficient low-power IoT design.

Keywords:
Bluetooth Low Energy (BLE)Internet of Things (IoT)Wireless Sensor Network (WSN)performance evaluationpower estimation

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Embedded Systems

Background:

  • Optimizing energy consumption is critical for the proliferation of low-power Internet-of-Things (IoT) devices.
  • Bluetooth Low Energy (BLE) is a key technology for battery-powered IoT applications.
  • Understanding the trade-offs between connection parameters, throughput, and energy usage is essential for BLE solution design.

Purpose of the Study:

  • To analyze the energy consumption and data throughput of various Bluetooth Low Energy (BLE) versions.
  • To investigate the impact of connection intervals on throughput for different BLE transaction types.
  • To provide a comparative analysis of power efficiency relative to throughput across BLE versions.

Main Methods:

  • Experimental testing of energy consumption and data throughput for different BLE versions.
  • Systematic variation of connection intervals to measure their effect on throughput.
  • Evaluation of power efficiency for various BLE transactions, including read/write, notify, and read/write without response.

Main Results:

  • Shorter connection intervals enhance throughput for standard read/write transactions.
  • Connection interval length does not significantly increase throughput for notify and read/write without response transactions.
  • Energy consumption in BLE is primarily dependent on the volume of data transmitted, irrespective of the BLE version.

Conclusions:

  • The findings offer practical design guidelines for developing energy-efficient BLE IoT applications.
  • Developers can leverage this data to select optimal connection parameters for specific IoT use cases.
  • This research contributes to extending the battery life of low-power IoT devices through informed BLE implementation.