Applying Smartphones for Positioning in the Middle of the Room

2020;
: pp. 11 - 18
1
Lviv Polytechnic national University
2
Lviv Polytechnic National University, Ukraine

The article deals with the problem of navigating indoors in conditions of satellite signal unavailability. In this case, alternative sources of positioning are used to determine the location of the objects. Use for navigation tasks inside the premises of the smartphone allows you to get comprehensive data on its operation. To solve the problem of navigation, the most important elements of the data sets is the unique identifier of the monitored device and the relative power level of the signal received from it. The data of the calculations and experiments show that the navigation measurements with the help of smartphones allow to qualitatively solve the problem of observation at given distances between sensors not exceeding 5-7 meters. The relative position of the sensors and the moving objects is important. At a distance of 5 m from the beacons and the object, the actual accuracy of the object coordinates is 1-2 m, which is sufficient for traditional navigation tasks in the middle of buildings.

  1. Belej O. Protecting Data Transmission in Sensory Networks by MQTT-Protocol // матеріали VIІ міжнародної науково-технічної конференції “Захист інформації і безпека інформаційних систем”, Львів 30— 31 травня 2019 р. — Львів : Видавництво Львівської політехніки, 2019. — с. 74-78.
  2. Belej O., Nestor N. and Polotai O. Developing a Local Positioning Algorithm Based on the Identification of Objects in a Wi-Fi Network of the Mall. 2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), Polyana, Ukraine, 2019, pp. 32-36. — doi: 10.1109/MEMSTECH.2019.8817385.
  3. Belej O., Nestor N., Polotai O. and Sadeckii J.Features of Application of Data Transmission Protocols in Wireless Networks of Sensors. 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), Lviv, Ukraine, 2019, pp. 317-322. — doi: 10.1109/AIACT.2019.8847878.
  4. Belej О.І. Formation of the signal of information transmission in the system of hyperbolic chaos. INFOS- 2019: Збірник тез доповідей учасників Міжнародного форуму з інформаційних систем і технологій, м. Харків, 24-27 квітня 2019 року. — Харків, 2019. — с. 11-15.
  5. Cantón Paterna V. et al. A Bluetooth Low Energy Indoor Positioning System with Channel Diversity, Weighted Trilateration, and Kalman Filtering //Sensors. — 2017. — Т. 17. — №. 12. — С. 2927.
  6. Detect Framework, In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE) (April 2008, Cancun, Mexico), IEEE Comp. Soc., 140-149, 2008.
  7. Detect Framework, In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE) (April 2008, Cancun, Mexico), IEEE Comp. Soc., 140-149, 2008.
  8. Gu Y., Lo A., Niemegeers I. A survey of indoor positioning systems for wireless personal networks. IEEE Commun. Surv. Tutor. 2009, 11, 13–32.
  9. Kim J., Jun H., “Vision-based location positioning using augmented reality for indoor navigation”, IEEE Trans. Consum. Electron, 2008, vol. 54, pp. 954–962.
  10. Li C.-L., Laoudias C., Larkou G., et al. Indoor Geolocation on Multi-sensor Smartphones / Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services. New York, NY, USA: ACM, 2013. P. 503–504.
  11. Maggi F. M., Montali M., Westergaard M. Monitoring business constraints with linear temporal logic: An approach based on colored automata" in Proc. of the 9th International Conference on Business Process Management (BPM’11), Clermont-Ferrand, France, LNCS, vol. 6896. Springer, August—September 2011, pp. 132–147.
  12. Qi J., Liu G.P. “A Robust High-Accuracy Ultrasound Indoor Positioning System Based on a Wireless Sensor Network”, Sensors, 2017, vol. 17, pp. 25-54.
  13. Vanamalini T.S., Lakshmi K. Joshitha. RSSI Aided Cartographic In-door Tracking System using Wireless Sensor Network // International Journal of Engineering Research & Technology (IJERT). 2015. Vol. 4. Issue 03.
  14. Verbeek H., Buijs J., Dongen B., and Aalst W. Xes, sesame, and prom 6″ in Proc. of the CAiSE Forum on Information Systems Evolution, Hammamet, Tunisia, LNBIP, vol. 72. Springer, June 2010, pp. 60–75.
  15. Xin Li, Jian Wang, and Chunyan Liu. A Bluetooth/PDR Integration Algorithm for an Indoor Positioning System // Journal Sensors. 2015. № 15.