Sensor calibration for floor detection by D2D communications

Ting Hui Chiang, Ling Jyh Chen, Yu Chee Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in technology have led to the rapid development of the Internet of Things (IoT) and the use of smartphones. The phenomenon has been widely influenced by the use of smart sensors, the accuracy of which is critical to the quality of service provided. Hence, it is vital that sensors are calibrated at both the device and software levels. Some applications even rely on environment-dependent sensing results. Floor detection by barometers is one example, where the pressure of a floor actually depends on the base reference pressure. This observation motivates us to study the floor detection problem by using barometers with device-to-device (D2D) communications. In this paper, we propose the Floor Calibration Protocol (FCP), which enables a mobile device to be calibrated with other mobile devices and anchor devices by considering both temporal and spatial factors. We conducted trace-based simulations to evaluate the proposed scheme and compared its performance with that of state-of-the-art approaches to validate the efficacy of our protocol.

Original languageEnglish
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509059355
DOIs
Publication statusPublished - 2018 Feb 8
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: 2017 Sep 242017 Sep 27

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-September
ISSN (Print)1550-2252

Other

Other86th IEEE Vehicular Technology Conference, VTC Fall 2017
CountryCanada
CityToronto
Period17/9/2417/9/27

Fingerprint

Calibration
Barometer
Barometers
Sensor
Communication
Sensors
Mobile devices
Mobile Devices
Smart Sensors
Network protocols
Internet of Things
Smart sensors
Smartphones
Anchors
Quality of Service
Efficacy
Quality of service
Sensing
Trace
Software

Keywords

  • Floor detection
  • Indoor localization
  • Internet of Things (IoT)
  • Sensor calibration

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Chiang, T. H., Chen, L. J., & Tseng, Y. C. (2018). Sensor calibration for floor detection by D2D communications. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (pp. 1-6). (IEEE Vehicular Technology Conference; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8288155

Sensor calibration for floor detection by D2D communications. / Chiang, Ting Hui; Chen, Ling Jyh; Tseng, Yu Chee.

2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (IEEE Vehicular Technology Conference; Vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chiang, TH, Chen, LJ & Tseng, YC 2018, Sensor calibration for floor detection by D2D communications. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 17/9/24. https://doi.org/10.1109/VTCFall.2017.8288155
Chiang TH, Chen LJ, Tseng YC. Sensor calibration for floor detection by D2D communications. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2017.8288155
Chiang, Ting Hui ; Chen, Ling Jyh ; Tseng, Yu Chee. / Sensor calibration for floor detection by D2D communications. 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6 (IEEE Vehicular Technology Conference).
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