Fuzzy approach to device location detection on the basis of wireless network signal strength

Michał Socha, Wojciech Górka, Marcin Michalak

Abstract


The paper presents an original approach to the detection of the device location in the building. The new method is based on a map of the building, prepared from the measurements of wireless networks signals strength for each building venue. The device is initially assigned to all venues whose descriptions sufficiently correspond with the current measures made by the device. A fuzzy membership level for each of the potentially considered venues depends on the difference between the averaged networks strengths for the venue and the strengths detected with the device to be located. Finally, the device is assigned to the venue with a higher level of membership.

Keywords


wireless networks; fuzzy sets; device location

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References


Enge P., Misra P.: Special issue on GPS: The global positioning system. Proceedings of the IEEE, 87(1):3–172, 1999.

Hammadi O.A., Hebsi A. A., Zemerly M. J., Ng J. W. P.: Indoor localization and guidance using portable smartphones. [in:] Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 337-341, 2012

Górka W., Piasecki A. Socha M.: Mobile application supporting universal access to culture, taking into account the needs of disabled people, [in:] Proceedings of the 11th Scientific Conference Internet in the Information Society, 191-201, 2016.

Benavente-Peces C et al.: Global System for Localization and Guidance of Dependant People: Indoor and Outdoor Technologies Integration, Lecture Notes in Computer Science, 5597:82-89, 2009.

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):233–265, 2004.

Want R., Hopper A., Falcao V., Gibbons J.: The Active Badge Location System. ACM Transactions on Information Systems, 10(1):91-102, 1992.

Polito S. et al.: Performance evaluation of active RFID location systems based on RF power measures. [in:] IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, 1-5, 2007.

Priyantha N. B., Chakraborty A., Balakrishnan H.: The cricket location support system. [in:] Proceedings of the Annual International Conference on Mobile Computing and Networking, 32-43, 2000.

Galván-Tejada C. E., Carrasco-Jimenez J. C., Brena R.: Location Identification Using a Magnetic-Field-Based FFT Signature, Lecture Notes in Computer Science 8276:9-16, 2013.

Chung J. et al.: Indoor Location Sensing Using Geo-Magnetism. [in:] Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, 141-154, 2011.

Steinbuss S., Holtkamp B., Opriel S.: HANDELkompetent – Situation Aware Learning in Retail, Procedia Manufacturing 9:245 – 253, 2017.

Bahl P., Padmanabhan V. N.: RADAR: An in-building RF-based user location and tracking system. [in:] Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 775-784, 2000.

Herranz, F., Llamazares, Á., Molinos, E., Ocaña, M., Sotelo, M. A.: WiFi SLAM algorithms: An experimental comparison. Robotica, 34(4):837-858, 2016.

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): 702-718, 2013.

Krumm J., Horvitz E.: Locadio: Inferring motion and location from wi-fi signal strengths, [in:] Prpceedings of The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 4-13, 2004.

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):221-235, 2007.

Youssef M., Agrawala A.: The Horus WLAN location determination system. [In:] roceedings of the 3rd international conference on Mobile systems, applications, and services, 205-218, 2005.

Chintalapudi K., PadmanabhaIyer A., Padmanabhan V.: Indoor localization without the pain. [In:] Proceedings of the sixteenth annual international conference on Mobile computing and networking, 173-184, 2010.

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):221-241, 2016.

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: 1067-1080, 2007.

Zadeh L.: Fuzzy sets. Information and Control, 8(3):338-353, 1965.