Probabilistic methods for determining position using WiFi signal

• Autorzy: Leplawy M. , Lipiński P.

Identyfikatory

DOI

10.15199/48.2016.12.48

Warianty tytułu

PL

Probabilistyczne metody określania położenia za pomocą sygnału WiFi

• Języki publikacji: EN

Abstrakty

EN

In this article we present probabilistic methods to determine the position using the WiFi signal with the use of a classic mobile phone with built-in WiFi.

PL

W artykule przedstawiono probabilistyczne metody określania położenia za pomocą sygnału WiFi przy wykorzystaniu klasycznego telefonu komórkowego z wbudowanym modułem WiFi.

Słowa kluczowe

EN

WiFi; GPS; metoda probabilistyczna

PL

WiFi; GPS; probabilistic method

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2016
• Tom: R. 92, nr 12
• Strony: 188--190
• Opis fizyczny: Bibliogr. 9 poz., rys., tabl., wykr.

Twórcy

autor

Leplawy M.

• Institute of Information Technology, Lodz University of Technology, ul. Wólczańska 215, 90-924 Lodz, Poland

autor

Lipiński P.

• Institute of Information Technology, Lodz University of Technology, ul. Wólczańska 215, 90-924 Lodz, Poland

Bibliografia

• [1] WicLoc: An indoor localization system based on WiFi fingerprints and crowdsourcing, Jianwei Niu, State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China, Bowei Wang, Long Cheng, Joel J. P. C. Rodrigues, 2015 IEEE International Conference on Communications (ICC), Pages: 3008 – 3013, 2015
• [2] WILL: Wireless Indoor Localization without Site Survey, Chenshu Wu, Tsinghua University, Beijing, Zheng Yang, Yunhao Liu, Wei Xi, IEEE Transactions on Parallel and Distributed Systems (Volume: 24 , Issue: 4 ), Pages: 839 - 848, 2015
• [3] Gradient-Based Fingerprinting for Indoor Localization and Tracking, Yuanchao Shu State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China, Yinghua Huang, Jiaqi Zhang, Philippe Coué, Peng Cheng, Jiming Chen, Kang G. Shin, IEEE Transactions on Industrial Electronics (Volume:63 , Issue: 4 ), Page: 2424 – 2433, 2016
• [4] IEEE-SA -IEEE Get 802 Program - 802.11: Wireless LANs[web page] http://standards.ieee.org/about/get/802/802.11.html Apr 2016. [Accessed on 8 Apr. 2016.].
• [5] RSSI-Based Bluetooth Indoor Localization, Yixin Wang, Dept. of Comput. Sci., Univ. of Prince Edward Island, Charlottetown, PE, Canada, Qiang Ye, Jie Cheng, Lei Wang, 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Pages: 165 - 171, 2015
• [6] Ray tracing supported precision evaluation for GPS indoor positioning, M. Jacob; S. Schon; U. Weinbach; T. Kurner, Positioning, Navigation and Communication, 2009. WPNC 2009. 6th Workshop, Pages: 15-22, 2009
• [7] An Android-based Mechanism for Energy Efficient Localization depending on Indoor / Outdoor Context, Nicholas Capurso; Tianyi Song; Wei Cheng; Jiguo Yu; Xiuzhen Cheng, IEEE Internet of Things Journal, Page: 1, 2016
• [8] On Hybrid Localization in Half-Open Areas , Geng Li ; Sch. Of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China ; Kaigui Bian ; Yuping Zhao ; Dou Li, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
• [9] Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras.Canedo- Rodrıguez, Alvarez-Santos, Regueiro, C., Iglesias, R.,Barro, S.a, Presedo, J. University of Santiago de Compostela, University of A Coruna, 2016