Abstract
Localization and tracking of objects (e.g. objects or people) in indoor environment will facilitate many location dependent or context-aware applications. Localization of passive ultra high frequency (UHF) radio-frequency identification (RFID) tags attached to objects or people is of special interest because of the low cost of the tags and backscatter communication that is power efficient. An augmented RFID system for localization based on a new tag called Sense-a-Tag (ST) that communicates with the RFID reader as a passive tags and can detect and record communication of other passive tags in its proximity was introduced several years ago. In ST-based localization system, a large set of passive landmark tags are placed at the known locations. The system localizes ST based on the aggregation of binary detection measurements according to localization algorithm, such as weighted centroid localization (WCL). However, the aforementioned method is easily affected by the outlier detection of distant landmark tags by ST. To improve localization accuracy, this paper propose to iteratively refine the interrogation area of the reader so that it includes only the most relevant landmark tags. The performance of the proposed method is demonstrated by extensive computer simulation and realistic experiments.
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
Athalye, A., Savic, V., Bolic, M., Djuric, P.M.: A radio frequency identification system for accurate indoor localization. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1777–1780. IEEE, May 2011
Maltse, P.A., Winter, S., Nikitin, P., Kodukula, V., Erosheva, E.: U.S. Patent No. 8,199,689, Washington, DC: U.S. Patent and Trademark Oce. (2012)
Bolic, M., Rostamian, M., Djuric, P.M.: Proximity detection with RFID: a step toward the internet of things. IEEE Pervasive Comput. 2, 70–76 (2015)
Wang, J., Bolic, M.: Exploiting dual-antenna diversity for phase cancellation in augmented RFID system. In: 2014 International Conference on Smart Communications in Network Technologies (SaCoNeT), pp. 1–6. IEEE, June 2014
Wang, J., Bolic, M.: Reducing the phase cancellation effect in augmetned RFID system. Int. J. Parallel Emerg. Distrib. Syst. 30, 494–514 (2015). doi:10.1080/17445760.2015.1035718
Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The cricket location-support system. In: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, pp. 32–43. ACM, August 2000
Bahl, P., Padmanabhan, V.N.: RADAR: an in-building RF-based user location and tracking system. In: Proceedings of INFOCOM 2000 Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 775–784. IEEE (2000)
Chang, H.L., Tian, J.B., Lai, T.T., Chu, H.H., Huang, P.: Spinning beacons for precise indoor localization. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, pp. 127–140. ACM, November 2008
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. Pers. Commun. IEEE 7(5), 28–34 (2000)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, pp. 81–95. ACM, September 2003
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: LANDMARC: indoor location sensing using active RFID. Wirel. Netw. 10(6), 701–710 (2004)
Schuhmann, S., Herrmann, K., Rothermel, K., Blumenthal, J., Timmermann, D.: Improved weighted centroid localization in smart ubiquitous environments. In: Sandnes, F.E., Zhang, Y., Chunming, R., Yang, L.T., Ma, J. (eds.) UIC 2008. LNCS, vol. 5061, pp. 20–34. Springer, Heidelberg (2008)
Zhao, Y., Liu, Y., Ni, L.M.: VIRE: active RFID-based localization using virtual reference elimination. In: International Conference on Parallel Processing, ICPP 2007, pp. 56–56. IEEE, September 2007
Cheng, C.Y.: Indoor localization algorithm using clustering on signal and coordination pattern. Ann. Oper. Res. 216(1), 83–99 (2014)
Borisenko, A., Bolic, M., Rostamian, M.: Intercepting UHF RFID signals through synchronous detection. EURASIP J. Wirel. Commun. Netw. 2013(1), 1–10 (2013)
Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Fluids Eng. 82(1), 35–45 (1960)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Rostamian, M., Wang, J., Bolić, M. (2017). An Accurate Passive RFID Indoor Localization System Based on Sense-a-Tag and Zoning Algorithm. In: Zhou, Y., Kunz, T. (eds) Ad Hoc Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-319-51204-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-51204-4_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51203-7
Online ISBN: 978-3-319-51204-4
eBook Packages: Computer ScienceComputer Science (R0)