Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
METHOD FOR LOCATION DETECTION IN INDOOR NAVIGATION SYSTEMS
Abstract:
The article author consider wireless network technologies, in particular, the possibilities provided by the standards of WiFi, ZigBee, BLE 4.0, RFI and LTE. However, when using indoor-navigation systems, there remain problems with the accuracy of determining the coordinates, the speed of processing data, and determining the correct route. To correctly display an object in-door location, it is impotent todetermine the current coordinates, compare the position with the cartographic representation, and update the location in real time and check the correspondence of the current position with the theoretical route. The authors analysis method of object positioning on the basis of iBeacon signal, accelerometer values&Kalman filter. In the article it is suggested an integrated method for determining the current location. The object position were obtained in several ways and after the correction the route was constructed. To display the position on the map, you must have a map view of the room with the marked position of each iBeacon-beacon and be able to navigate the route. For this purpose, an algorithm was used to find the shortest path through two points and searching for the shortest path to the specified beacon are presented. The application consists of a CMS(content management system) and an Android mobile application.
Authors:
Keywords
DOI
References
  1. Petrova, O., Tabunshchyk, G. (2016), “Information system for the study of the reliability of positioning and indoor navigation systems” [Informatsionnaya sistema dlya issledovaniya nadezhnosti sistem pozitsionirovaniya i navigatsii vnutri pomeshcheniya], Proceedings of DonNTU series "Informatics, Cybernetics and Computer Science"№ 2 (23), Pokrovsk, с,123.
  2. Schekotov, M. S., Kashevnyk, A. M (2012), “Comparative analysis of positioning smartphones in Pomeys-schenyyah” [Sravnitel'nyy analiz sistem pozitsionirovaniya smartfonov v pomeshcheniyakh], Proceedings SPIIRAS№. 4(23),Sankt Peterburg  с. 460.
  3. Tabunshchyk, G., Merode, D. Van, Patrakhalko, K., Goncharov, Y (2015), Smart-campus infrastructure development based on BLE 4.0, Published in the Journal Electrotechnic and Computer Systems No. 18 (94), Kyiv.
  4. Ndie, Th. D., Tangha, Cl., Sangbong, T., Kufor, A. F (2015), Mobile Application Provision Using Bluetooth Wireless Technology, Journal of Software Engineering and Applications, 4,           pp. 95–105.
  5. Anikin, A. (2011), Overview of modern technologies of wireless data in frequency range ISM (Bluetooth, ZigBee, Wi-Fi) and 434/868 МГц, Besprovodnie technologii, №4, Russa p.6–12.
  6. Kjaergaard, M. (2012), Mobile sensing of pedestrian flocks in indoor environments using WiFi signals. In Pervasive Computing and Communications (PerCom), IEEE International Conference on, pp. 95–102.
  7. Grewal, M., Andrews, A (2015), Kalman filtering: Theory and practice, Wiley-Interscience
  8. Merode, D. Van, Tabunshchyk, G., Goncharov, Y., Patrakhalko, K., Staroverov, V. (2016), Interactive university platform, Current problems and achievements in the field of radio, telecommunications and information technology: Abstracts VIII International Scientific Conference - Zaporozhye: ZNTU,– C. 276–277.
  9. Tabunshchyk, G., Merode, D. Van, Patrakhalko, K., Goncharov, Y (2016), Flexible Technologies for Smart Campus, Proceedings of XIІІ International Conference on Remote Engineering and Virtual Instrumentation, Madrid, Spain UNED:    pp. 58–62.
  10. Tabunshchyk, G., Merode, D. Van (2017), Intellectual Flexible Platform for Smart Beacons, Conference: REV2017, At New York.
Published:
Last download:
2017-09-18 09:30:34

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]
Яндекс.Метрика