Skip to main content

Smart Parking Zones Using Meshed Bluetooth Sensor Networks

  • Conference paper
  • First Online:
Smart Cities, Green Technologies and Intelligent Transport Systems (SMARTGREENS 2019, VEHITS 2019)

Abstract

Developing seamless smart parking solutions remain an active research area. User coordination burden remains high, and systems based on complex instrumentation are often expensive and costly to maintain. Contemporary parking lot management systems are slow to adopt new technology, particularly in cases where there is no perceived immediate return on investment. We propose the use of a low cost, low power, Bluetooth Low Energy (BLE) based outdoor localization system coupled with a Random Forest classifier and dual-mode Bluetooth mesh network to provide space occupancy detection and sensor data transfer. To balance computational demands with cost, we leverage fog computing paradigms to shift computational capability near the sensor network where it can be used without an expensive network back-haul to a data center or cloud. We provide operational experiment results and analysis, and a study on the effects on accuracy from various network complexity and radio map minimization schemes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baert, M., Rossey, J., Shahid, A., Hoebeke, J.: The bluetooth mesh standard: an overview and experimental evaluation. Sensors 18(8), 2409 (2018)

    Article  Google Scholar 

  2. Belgiu, M., Dragut, L.: Random forest in remote sensing: a review of applications and future directions. ISPRS J. Photogram. Remote Sens. 114, 24–31 (2016)

    Article  Google Scholar 

  3. Bluetooth SIG Mesh Working Group: Bluetooth mesh profile specification, July 2017

    Google Scholar 

  4. Buitinck, L., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning, pp. 108–122 (2013)

    Google Scholar 

  5. Daniay, F.S., Cemgil, A.T.: Model-based localization and tracking using bluetooth low-energy beacons. Sensors 17(11), 2484 (2017)

    Article  Google Scholar 

  6. Darroudi, S.M., Gomez, C.: Bluetooth low energy mesh networks: a survey. Sensors 17(7), 1467 (2017)

    Article  Google Scholar 

  7. Fabian, H.: A public parking management system for Zurich. Master’s thesis, University of Zurich (2015)

    Google Scholar 

  8. Faragher, R., Harle, R.: An analysis of the accuracy of bluetooth low energy for indoor positioning applications. In: Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, pp. 201–210, September 2014

    Google Scholar 

  9. Firdausi, I., Erwin, A., Nugroho, A.S., et al.: Analysis of machine learning techniques used in behavior-based malware detection. In: 2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 201–203. IEEE (2010)

    Google Scholar 

  10. Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Luo, G.: Smartphone-based real time vehicle tracking in indoor parking structures. IEEE Trans. Mob. Comput. 16(7), 2023–2036 (2017)

    Article  Google Scholar 

  11. Guo, Z., Harris, I.G., Tsaur, L., Chen, X.: An on-demand scatternet formation and multi-hop routing protocol for ble-based wireless sensor networks. In: 2015 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1590–1595, March 2015. https://doi.org/10.1109/WCNC.2015.7127705

  12. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explor. 11(1), 10–18 (2009)

    Article  Google Scholar 

  13. Hobi, L.: The impact of real-time information sources on crowd-sourced parking availability prediction. Master’s thesis, University of Zurich (2015)

    Google Scholar 

  14. Holtmann, M., Hedberg, J.: Bluez - official linux bluetooth protocol stack (2018). http://www.bluez.org/

  15. Hortelano, D., Olivares, T., Ruiz, M.C., Garrido-Hidalgo, C., López, V.: From sensor networks to internet of things. Bluetooth low energy, a standard for this evolution. Sensors 17(2), 372 (2017). https://doi.org/10.3390/s17020372. https://www.mdpi.com/1424-8220/17/2/372

    Article  Google Scholar 

  16. Itti, L.: Darknet yolo jevois module (2018). http://jevois.org/moddoc/DarknetYOLO/ modinfo.html

  17. JeVois Inc: Jevois-a33 smart camera (2018). https://www.jevoisinc.com/pages/hardware

  18. karulis: Pybluez - python extension module allowing access to system bluetooth resources (2018). https://github.com/pybluez

  19. Kim, H., Lee, J., Jang, J.W.: Blemesh: a wireless mesh network protocol for bluetooth low energy devices. In: 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 558–563, August 2015

    Google Scholar 

  20. Leifer, I., et al.: State of the art satellite and airborne marine oil spill remote sensing: application to the BP deepwater horizon oil spill. Remote Sens. Environ. 124, 185–209 (2012)

    Article  Google Scholar 

  21. León, J., Dueñas, A., Iano, Y., Makluf, C.A., Kemper, G.: A bluetooth low energy mesh network auto-configuring proactive source routing protocol. In: 2017 IEEE International Conference on Consumer Electronics (ICCE), pp. 348–349. IEEE (2017)

    Google Scholar 

  22. Liniger, S.: Parking prediction techniques in an IoT environment. Master’s thesis, University of Zurich (2015)

    Google Scholar 

  23. Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37(6), 1067–1080 (2007)

    Article  Google Scholar 

  24. LLC, P.: Parkmobile (2018). https://parkmobile.io/

  25. Mikhaylov, K., Tervonen, J.: Multihop data transfer service for bluetooth low energy. In: 2013 13th International Conference on ITS Telecommunications (ITST), pp. 319–324. IEEE (2013)

    Google Scholar 

  26. National Coordination Office for Space-Based Positioning, Navigation, and Timing: GPS accuracy. https://www.gps.gov/systems/gps/performance/accuracy/

  27. Oguejioforo, S., Okorogu, V., Abe, A., Osuesub, O.: Outdoor localization system using RSSI measurement of wireless sensor network. Int. J. Innov. Technol. Exploring Eng. 2, 1–6 (2013)

    Google Scholar 

  28. Parking Panda. https://www.parkingpanda.com/

  29. Passport Labs, INC.: Passportparking. https://www.passportinc.com/

  30. Reddy, Y.K., et al.: A connection oriented mesh network for mobile devices using bluetooth low energy. In: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, pp. 453–454. ACM (2015)

    Google Scholar 

  31. Seymer, P., Wijesekera, D., Kan, C.D.: Secure outdoor smart parking using dual mode bluetooth mesh networks. In: Proceedings of the 89th IEEE Vehicular Technology Conference (VTC 2019-Spring), April 2019

    Google Scholar 

  32. Seymer, P., Wijesekera, D., Kan, C.D.: Smart parking zones using dual mode routed bluetooth fogged meshes. In: Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, May 2019

    Google Scholar 

  33. Silver, O.: An indoor localization system based on BLE mesh network. Master’s thesis, Linkoping University (2016)

    Google Scholar 

  34. Sirur, S., et al.: A mesh network for mobile devices using bluetooth low energy. In: 2015 IEEE SENSORS, pp. 1–4, November 2015. https://doi.org/10.1109/ICSENS.2015.7370451

  35. StarTech: Mini usb bluetooth 4.0 adapter - 50m (165ft) class 1 edr wireless dongle (2018). https://www.startech.com/Networking-IO/Bluetooth-Telecom/USB-Bluetooth-4-Dongle~USBBT1EDR4

  36. Todtenberg, N., Kraemer, R.: A survey on bluetooth multi-hop networks. Ad Hoc Netw. 93, 101922 (2019)

    Article  Google Scholar 

  37. Waharte, S., Boutaba, R., Iraqi, Y., Ishibashi, B.: Routing protocols in wireless mesh networks: challenges and design considerations. Multimedia Tools Appl. 29(3), 285–303 (2006)

    Article  Google Scholar 

  38. Yee, H.C., Rahayu, Y.: Monitoring parking space availability via zigbee technology. Int. J. Future Comput. Commun. 3(6), 377 (2014)

    Article  Google Scholar 

Download references

Acknowledgement

\(\copyright \) 2019 The MITRE Corporation. ALL RIGHTS RESERVED. The author’s affiliation (pseymer@mitre.org) with The MITRE Corporation is provided for identification purposes only, and is not intended to convey or imply MITRE’s concurrence with, or support for, the positions, opinions, or viewpoints expressed by the author. Approved for Public Release 19-2570. Distribution Unlimited.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Seymer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Seymer, P., Wijesekera, D., Kan, CD. (2021). Smart Parking Zones Using Meshed Bluetooth Sensor Networks. In: Helfert, M., Klein, C., Donnellan, B., Gusikhin, O. (eds) Smart Cities, Green Technologies and Intelligent Transport Systems. SMARTGREENS VEHITS 2019 2019. Communications in Computer and Information Science, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-68028-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-68028-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68027-5

  • Online ISBN: 978-3-030-68028-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics