FUZZY APPROACH TO DEVICE LOCALIZATION BASED ON WIRELESS NETWORK SIGNAL STRENGTH
Michał Socha
Research Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland (Poland)
https://orcid.org/0000-0002-7439-4001
Wojciech Górka
Research Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland (Poland)
https://orcid.org/0000-0003-2124-7734
Marcin Michalak
Marcin.Michalak@emag.lukasiewicz.gov.plResearch Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland (Poland)
https://orcid.org/0000-0001-9979-8208
Abstract
The paper presents an original approach to device location detection in a building. The new method is based on a map of individual interiors, drawn up based on the measurements of the strength of wireless network signals for each building venue. The device is initially assigned to all venues whose descriptions sufficiently correspond with the current measurements taken by the device. A fuzzy assignment level for each of the potentially considered venues depends on the difference between the averaged network strengths for the venue and the signal strengths currently measured with the device for localization purposes. Ultimately, the device is assigned to the venue with the highest level of assignment.
Keywords:
wireless networks, fuzzy sets, device locationReferences
Bahl P., Padmanabhan V. N.: RADAR: An in-building RF-based user location and tracking system. Proceedings IEEE INFOCOM 2000, 775–784.
Google Scholar
Benavente-Peces C. et al.: Global System for Localization and Guidance of Dependant People: Indoor and Outdoor Technologies Integration. Lecture Notes in Computer Science 5597, 2009, 82–89.
DOI: https://doi.org/10.1007/978-3-642-02868-7_11
Google Scholar
Chintalapudi K., PadmanabhaIyer A., Padmanabhan V.: Indoor localization without the pain. Proceedings of the sixteenth annual international conference on Mobile computing and networking, 2010, 173–184.
DOI: https://doi.org/10.1145/1859995.1860016
Google Scholar
Chung J. et al.: Indoor Location Sensing Using Geo-Magnetism. Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, 2011, 141–154.
DOI: https://doi.org/10.1145/1999995.2000010
Google Scholar
Enge P., Misra P.: Special issue on Global Positioning System. Proceedings of the IEEE 87(1), 1999, 3–15.
DOI: https://doi.org/10.1109/JPROC.1999.736338
Google Scholar
Galván-Tejada C. E., Carrasco-Jimenez J. C., Brena R.: Location Identification Using a Magnetic-Field-Based FFT Signature, Lecture Notes in Computer Science 8276, 2013, 9–16.
DOI: https://doi.org/10.1016/j.procs.2013.06.071
Google Scholar
Garcia-Valverde, T., Garcia-Sola, A., Hagras, H., Dooley, J. A., Callaghan, V., Botia, J. A.: A fuzzy logic-based system for indoor localization using WiFi in ambient intelligent environments. IEEE Transactions on Fuzzy Systems 21(4), 2013, 702–718.
DOI: https://doi.org/10.1109/TFUZZ.2012.2227975
Google Scholar
Górka W., Piasecki A. Socha M.: Mobile application supporting universal access to culture, taking into account the needs of disabled people. Proceedings of the 11th Scientific Conference Internet in the Information Society, 2016, 191–201.
Google Scholar
Hammadi O.A., Hebsi A. A., Zemerly M. J., Ng J. W. P.: Indoor localization and guidance using portable smartphones. Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012, 337–341.
DOI: https://doi.org/10.1109/WI-IAT.2012.262
Google Scholar
Hernández N., Alonso J. M., Ocaña M.: Hierarchical Approach to Enhancing Topology-based WiFi Indoor Localization in Large Environments. Journal of Multiple-Valued Logic and Soft Computing 26(3-5), 2016, 221–241.
Google Scholar
Herranz, F., Llamazares, Á., Molinos, E., Ocaña, M., Sotelo, M. A.: WiFi SLAM algorithms: An experimental comparison. Robotica, 34(4), 2016, 837–858.
DOI: https://doi.org/10.1017/S0263574714001908
Google Scholar
Krumm J., Horvitz E.: Locadio: Inferring motion and location from Wi-Fi signal strengths. Prpceedings of The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004, 4–13.
Google Scholar
Liu H. et al: Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 37:6, 2007, 1067–1080.
DOI: https://doi.org/10.1109/TSMCC.2007.905750
Google Scholar
López E., Barea R., Bergasa L. M., Escudero M. S.: A human-robot cooperative learning system for easy installation of assistant robots in new working environments. Journal of Intelligent and Robotic System 40(3), 2004, 233–265.
DOI: https://doi.org/10.1023/B:JINT.0000038952.66083.d1
Google Scholar
Polito S. et al.: Performance evaluation of active RFID location systems based on RF power measures. IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, 2007, 1–5.
DOI: https://doi.org/10.1109/PIMRC.2007.4394676
Google Scholar
Priyantha N. B., Chakraborty A., Balakrishnan H.: The cricket location support system. Proceedings of the Annual International Conference on Mobile Computing and Networking, 2000, 32–43.
DOI: https://doi.org/10.1145/345910.345917
Google Scholar
Steinbuss S., Holtkamp B., Opriel S.: HANDELkompetent – Situation Aware Learning in Retail. Procedia Manufacturing 9, 2017, 245–253.
DOI: https://doi.org/10.1016/j.promfg.2017.04.048
Google Scholar
Want R., Hopper A., Falcao V., Gibbons J.: The Active Badge Location System. ACM Transactions on Information Systems 10(1), 1992, 91–102.
DOI: https://doi.org/10.1145/128756.128759
Google Scholar
Youssef M., Agrawala A.: The Horus WLAN location determination system. Proceedings of the 3rd international conference on Mobile systems, applications, and services, 2005, 205–218.
DOI: https://doi.org/10.1145/1067170.1067193
Google Scholar
Zadeh L.: Fuzzy sets. Information and Control 8(3), 1965, 338–353.
DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
Google Scholar
Zaruba G., Huber M., Kamangar F., Chlamtac I.: Indoor location tracking using RSSI readings from a single Wi-Fi access point. Wireless Networks 13(2), 2007, 221–235.
DOI: https://doi.org/10.1007/s11276-006-5064-1
Google Scholar
Authors
Michał SochaResearch Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland Poland
https://orcid.org/0000-0002-7439-4001
Authors
Wojciech GórkaResearch Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland Poland
https://orcid.org/0000-0003-2124-7734
Authors
Marcin MichalakMarcin.Michalak@emag.lukasiewicz.gov.pl
Research Network Łukasiewicz, Institute of Innovative Technologies EMAG, Katowice, Poland Poland
https://orcid.org/0000-0001-9979-8208
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