Abstract
In this paper, the influence and improvement of the localization accuracy achieved using a fingerprint database with information coming from different channels and radio signal strength levels is evaluated. This study uses IEEE 802.15.4 networks with different power levels and carrier frequency channels in the 2.4 GHz band. Experimental results show that selecting part of this information with a cleverer data processing can provide similar or better localization accuracy than using the whole database.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alippi, C., Mottarella, A., Vanini, G.: A RF map-based localization algorithm for indoor environments. In: IEEE International Symposium on Circuits and Systems, ISCAS 2005, vol. 1, pp. 652–655 (2005)
Azizyan, M., Constandache, I., Choudhury, R.R.: Surroundsense: mobile phone localization via ambience fingerprinting. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, MobiCom 2009, pp. 261–272. ACM, New York (2009)
Bahl, P., Padmanabhan, V.N.: Radar: an in-building RF-based user location and tracking system. In: Proceedings INFOCOM 2000, Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pages 775–784. IEEE (2000)
Lorincz, K., Welsh, M.: MoteTrack: a robust, decentralized approach to RF-based location tracking. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 63–82. Springer, Heidelberg (2005)
Marti, J.V., Sales, J., Marin, R., Jimenez-Ruiz, E.: Localization of mobile sensors and actuators for intervention in low-visibility conditions: the zigbee fingerprinting approach. Int. J. Distrib. Sens. Netw. 1–10, 2012 (2012)
Milioris, D., Tzagkarakis, G., Papakonstantinou, A., Papadopouli, M., Tsakalides, P.: Low-dimensional signal-strength fingerprint-based positioning in wireless LANs. Ad Hoc Netw. Spec. Issue: Model. Anal. Simul. Wirel. Mob. Syst. 12, 100–114 (2014)
Oussar, Y., Ahriz, I., Denby, B., Dreyfus, G.: Indoor localization based on cellular telephony RSSI fingerprints containing very large numbers of carriers. EURASip J. Wirel. Commun. Network. 2011(1), 81 (2011)
Yao, Q., Wang, F.-Y., Gao, H., Wang, K., Zhao. H.: Location estimation in zigbee network based on fingerprinting. In: IEEE International Conference on Vehicular Electronics and Safety, 2007, ICVES. pp 1–6 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Claver, J.M., Ezpeleta, S., Martí, J.V., Pérez-Solano, J.J. (2015). Analysis of RF-based Indoor Localization with Multiple Channels and Signal Strengths. In: Mumtaz, S., Rodriguez, J., Katz, M., Wang, C., Nascimento, A. (eds) Wireless Internet. WICON 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-319-18802-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-18802-7_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18801-0
Online ISBN: 978-3-319-18802-7
eBook Packages: Computer ScienceComputer Science (R0)