Implementation of the indoor navigation algorithm based on bluetooth low energy 4.0. technology
Keywords:
mobile technology, wireless technology, navigation algorythms, artificial neural network
Abstract
Some of the indoor-navigation implementational wireless models are described in this article. Algorythms, based on basic models, are proposed. Based on data from the beacons the impact of other wireless connections is analyzed.
References
1. Qian Dong, Waltenegus Dargie. Evaluation of the reliability of RSSI for Indoor Localization. Technical University of Dresden, Germany //http://www.rn.inf.tu-dresden.de/dargie/papers/icwcuca.pdf (дата обращения 25.08.2015).
2. Гущин А.А. Использование беспроводных сетей при построении гибридного сервиса геолокации // Молодой ученый, 2013. № 4. С. 55–57.
3. Адаменко А.Н., Войцеховский С.В. и др. Cистемы искусственного интеллекта: учебное пособие / Под общ. ред. профессора А.Д. Хоменко. СПб.: ВКА имени А.Ф. Можайского. 2013.
4. Evennou F., Marx F. Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning // EURASIP Journal on Applied Signal Processing, 2006. № 17. P. 1–11.
5. Esmond Mok, Bernard K.S., Cheung. An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning // ISPRS Int. J. Geo-Inf., 2013. № 2. P. 854-868.
6. Battiti R., Nhat, T., Villani A. Location-Aware Computing: A Neural Network Model for Determining Location in Wireless LANs; Technical Report DIT-02-083; University of Trento, Trento, Italy, 2002.
2. Гущин А.А. Использование беспроводных сетей при построении гибридного сервиса геолокации // Молодой ученый, 2013. № 4. С. 55–57.
3. Адаменко А.Н., Войцеховский С.В. и др. Cистемы искусственного интеллекта: учебное пособие / Под общ. ред. профессора А.Д. Хоменко. СПб.: ВКА имени А.Ф. Можайского. 2013.
4. Evennou F., Marx F. Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning // EURASIP Journal on Applied Signal Processing, 2006. № 17. P. 1–11.
5. Esmond Mok, Bernard K.S., Cheung. An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning // ISPRS Int. J. Geo-Inf., 2013. № 2. P. 854-868.
6. Battiti R., Nhat, T., Villani A. Location-Aware Computing: A Neural Network Model for Determining Location in Wireless LANs; Technical Report DIT-02-083; University of Trento, Trento, Italy, 2002.
Published
2015-08-30
How to Cite
Овсянников, А. А., & Новиков, П. А. (2015). Implementation of the indoor navigation algorithm based on bluetooth low energy 4.0. technology. Computer Tools in Education, (4), 37-51. Retrieved from http://cte.eltech.ru/ojs/index.php/kio/article/view/1462
Issue
Section
Informational systems
This work is licensed under a Creative Commons Attribution 4.0 International License.
