Indoor location tracking system using neural network based on bluetooth

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorHassan A.M.A.
dc.contributor.otherDepartment of Electronics and Communications Engineering
dc.contributor.otherOctober University for Modern Sciences and Arts
dc.contributor.other6 October City
dc.contributor.otherEgypt
dc.date.accessioned2020-01-09T20:41:31Z
dc.date.available2020-01-09T20:41:31Z
dc.date.issued2016
dc.descriptionScopus
dc.description.abstractThis paper introduces the design and implementation of a Bluetooth based on indoor location tracking system. This system utilizes the integrated Bluetooth modules in any today's mobile phones to specify and display the location of the individuals in a certain building. The proposed system aim for location tracking/monitoring and marketing applications for whom want to locate individuals carrying mobile phones and advertise products and services. It is an integrated embedded and desktop system that helps the user to get the location of customers/inhabitants/employee within a certain region. The system is composed of a Server Module which is a java application that runs over desktop PC and is used to display the locations of the nearby mobile phones and send location based advertising message. This paper is aimed also to enhance the system positioning estimation accuracy by choosing the suitable number of neurons used in the neural network. � 2016 IEEE.en_US
dc.identifier.doihttps://doi.org/10.1109/ICEEOT.2016.7754772
dc.identifier.isbn9.78E+12
dc.identifier.otherhttps://doi.org/10.1109/ICEEOT.2016.7754772
dc.identifier.urihttps://ieeexplore.ieee.org/document/7754772
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofseriesInternational Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
dc.subjectAccuracyen_US
dc.subjectCustomersen_US
dc.subjectMobile phonesen_US
dc.subjectNeuronsen_US
dc.subjectObjectsen_US
dc.subjectServicesen_US
dc.subjectBluetoothen_US
dc.subjectCellular telephonesen_US
dc.subjectJava programming languageen_US
dc.subjectLocationen_US
dc.subjectMarketingen_US
dc.subjectMobile devicesen_US
dc.subjectMobile phonesen_US
dc.subjectNeural networksen_US
dc.subjectNeuronsen_US
dc.subjectTelephone setsen_US
dc.subjectTracking (position)en_US
dc.subjectAccuracyen_US
dc.subjectCustomersen_US
dc.subjectDesign and implementationsen_US
dc.subjectIndoor location trackingen_US
dc.subjectLocation-based advertisingen_US
dc.subjectMarketing applicationen_US
dc.subjectObjectsen_US
dc.subjectServicesen_US
dc.subjectCellular telephone systemsen_US
dc.titleIndoor location tracking system using neural network based on bluetoothen_US
dc.typeConference Paperen_US
dcterms.isReferencedBy(2009) Bluetooth-enabled Products Poised to Swim in the Mainstream, , I.nat, Stat, April; Zhao, Y.X., Shen, Q., Zhang, L.M., A novel high accuracy indoor positioning system based on wireless LANs (2013) Electromagnetics Research C, 24, pp. 25-42; Ciurana, M., Barcelo-Arroyo, F., Cugno, S., A robust to multipath ranging technique over IEEE 802.11 networks (2014) Wireless Networks, 16, pp. 943-953; Dom�nguez-Dur�n, M., Claros, D., Urdiales, C., Coslado, F., Sandoval, F., Dynamic calibration and zero configuration positioning system for WSN (2013) The 14th IEEE Mediterranean Electrotechnical Conference, MELECON, pp. 145-150. , 5-7 May; Liu, H., Darabi, H., Banerjee, P., Liu, J., Survey of wireless indoor positioning techniques and systems (2014) IEEE Transactions on Systems and Cybernetics-part C: Applications and Reviews, 37 (6). , November; Krumm, J., Harris, S., Meyers, B., Brumitt, B., Hale, M., Shafer, S., Multi camera Multi-person tracking easy living (2013) Third IEEE International Workshop on Visual Surveillance, pp. 1-8. , Dublin, Ireland; Gezici, S., Zhi, T., Giannakis, G.B., Kobayashi, H., Molisch, A.F., Poor, H.V., Sahinoglu, Z., Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks (2013) Signal Processing Magazine, 22 (4), pp. 70-84. , IEEE; Zhang, G., Krishnan, S., Chin, F., Ko, C.C., UWB multicell indoor localization experiment system with adaptive TDOA combination (2013) Vehicular Technology Conference, pp. 1-5. , IEEE 68th; Keijer, U., With IT at home - An evaluation of a three-year project (2014) TRITA-ARK-research Publication 2007:4, Royal Institute of Technology, Architecture and the Built Environment, , Stockholm, Sweden; Parameswaran, A.T., Husain, M.I., Upadhyaya, S., Is RSSI a reliable parameter in sensor localization algorithms - An experimental study (2014) Department of Computer Science and Engineering, pp. 1-5. , State University of New York at Buffalo, USA; Ward, A., Jones, A., Hopper, A., A new location technique for the active office (2012) IEEE Personal Communications, 4, pp. 213-222; Barlow, J., Gann, D., (2005) A Changing Sense of Place: Are Integrated IT Systems Reshaping the Home?, , SEWPS No 18, SPRU, University of Sussex, England; Lansley, P., The promise and challenge of providing assistive technology to older people (2011) Age & Ageing, pp. 439-440; Orr, R.J., Abowd, G.D., (2009) The Smart Floor: A Mechanism for Natural User Identification and Tracking, GVU Technical Report GIT-GVU-00-02 (full Paper), , January; Montemerlo, M., Pineau, J., Roy, N., Thrun, S., Verma, V., Experiences with a mobile robotic guide for the elderly (2012) Eighteenth National Conference on Artificial Intelligence, , Canada; Correa, J., Katz, E., Collins, P., Griss, M., (2012) Room-level Wi-Fi Location Tracking, , Carnegie Mellon Silicon Valley, technical report:, November; Pahlavan, K., Li, X., Makela, J., Indoor geolocation science and technology (2013) IEEE Commun. Mag., 40 (2), pp. 112-118. , Feb; Larranaga, J., Muguira, L., Lopez-Garde, J.-M., Vazquez, J.-I., An environment adaptive ZigBee-based indoor positioning algorithm (2013) IEEE International Conference on Indoor Positioning and Indoor Navigation, pp. 1-8. , Switzerland, 15-17 September; Gann, D., Barlow, J., Venables, T., (2009) Digital Futures: Making Homes Smarter, , Chartered Institute of Housing, England; Bahl, P., Padmanabhan, V.N., RADAR: An in-building RF-based user location and tracking system (2007) Proceedings of IEEE Infocom 2007, pp. 217-230. , Tel-Aviv, Israel, March; Harter, A., Hopper, A., A distributed location system for the active office (2007) IEEE Network, , January
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