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Multisensor IoT interface with Bluetooth Low Energy

Multisensor IoT interface with Bluetooth Low Energy

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The article detailed the challenges in implementing a multisensor Android BLE application and a new methodology - SASC - was proposed to address these challenges. Benchmarking tests and free-living tests were conducted to validate the SASC implementation schemes. The benchmarking tests gave quantified results on metrics such as throughput, CPU loading on the smartphone and power consumption by the Android application for various number of sensors and varying connection intervals. The results of Android application throughput evaluation suggest that the maximum achievable throughput is ~20 kbps for a single sensor connection and ~70 kbps for a seven -sensor connection under SASC methodology. The results of the CPU loading and power consumption tests suggest that CPU loading and power consumption figures can be kept low by using a connection interval of 13.75 ms or greater. The proposed SASC methodology was also used in a real-life use case for gait data collection using SmartStep sensors, and a total of 19 days of human subject tests resulted in 100% data retrieval. These results suggest that the proposed methodology can serve as a foundation for applications that require managing multiple BLE connections in the world of IoT.

Chapter Contents:

  • 4.1 Introduction
  • 4.2 Materials and methods
  • 4.2.1 Application scenario
  • 4.2.2 Proposed SASC methodology
  • 4.2.2.1 Connection establishment
  • 4.2.2.2 Information exchange mechanism between the sensors and the IoT Hub
  • 4.2.2.3 Disconnection process
  • 4.3 Testing scenarios
  • 4.3.1 Test sensor description
  • 4.3.2 IoT Hub description
  • 4.3.3 Free-living validation of the proposed SASC methodology
  • 4.3.4 Benchmarking tests of the proposed SASC methodology
  • 4.3.4.1 Data retrieval and throughput evaluation
  • 4.3.4.2 CPU loading and power consumption profiling
  • 4.4 Results
  • 4.4.1 Free-living validation of SASC methodology
  • 4.4.2 Per cent data retrieval and throughput evaluation
  • 4.4.3 CPU loading and power consumption profiling
  • 4.5 Discussion
  • 4.6 Conclusion
  • Authors' contributions
  • Conflicts of interest
  • References

Inspec keywords: Android (operating system); Bluetooth; sensor fusion; Internet of Things

Other keywords: multisensor IoT interface; power consumption tests; benchmarking tests; gait data collection; multisensor Android BLE application; SASC implementation schemes; sensors; time 19 day; Bluetooth low energy; SmartStep sensors; time 13.75 ms; smartphone; multiple BLE connections; human subject tests; free-living tests; Android application throughput evaluation

Subjects: Computer communications; Computer networks and techniques; Sensor fusion; Signal processing and detection; Radio links and equipment

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