A Comparison Review of Indoor Positioning Techniques

Authors

  • Nicholaus R. Mrindoko Department of Computer Engineering, Mbeya University of Science and Technology, Mbeya, Tanzania
  • Dr. Lusajo M. Minga Department of Information and Communication Technology, Mbeya University of Science and Technology, Mbeya, Tanzania

Keywords:

AoA, ToA, Fingerprintin.

Abstract

The advances in positioning based technologies and the expanding significance of indoor positioning led to a growing business interest in location-based services. Today, most application requirements are real-time tracking of physical possessions inside structures precisely. The demand for indoor localization services has turned into a key essential in some markets. Moreover, indoor positioning technologies address the inadequacy of global positioning system inside a closed environment. This paper aims to provide the reader with a comparison review of different parameter that affects indoor localization. The comparison review is based on three techniques known as Angle of arrival (AoA), Time of arrival (ToA) and Fingerprinting techniques to deliver a better understanding of state-of-the-art of these techniques and inspire new research endeavours in this promising field. For this purpose, three localization positions and location estimation schemes are reviewed with a conclusion and future trends.

References

. M. Brunato and R. Battiti, "Statistical learning theory for location fingerprinting in wireless LANs," Computer Networks, vol. 47, pp. 825-845, 2005.

. S. Daurer, D. Molitor, and M. Spann, "Measuring Individual Search Costs on the Mobile Internet," 2012.

. C. S. Jensen, H. Lu, and B. Yang, "Graph model based indoor tracking," presented at the Mobile Data Management: Systems, Services and Middleware, 2009. MDM'09. Tenth International Conference on, 2009.

. A. P. Kamath, T. Aura, and V. Miekkoja, "EricsPoint Indoor Positioning System," In collaboration with Ericsson & Aalto University2013.

. M. Lin, Yubin X., and Di W. , "A Novel Two-Step WLAN Indoor Positioning Method," Journal of Computational Information Systems vol. 6, pp. 4627-4636, 2010.

. H. Liu, H. Darabi, P. Banerjee, and J. Liu, "Survey of wireless indoor positioning techniques and systems," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, pp. 1067-1080, 2007.

. A. Matic, A. Popleteev, V. Osmani, and O. Mayora-Ibarra, "An Indoor Positioning System based on a WiFi router and FM beacons," presented at the 18th Telecommunications forum TELFOR 2010, Serbia, Belgrade, 2010.

. S. Mazuelas, A. Bahillo, R. M. Lorenzo, P. Fernandez, F. A. Lago, E. Garcia, et al., "Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks," IEEE Journal of Selected Topics in Signal Processing, vol. 3, pp. 821-831, 2009.

. N. R. Mrindoko, "IMPROVING PERFORMANCE OF INDOOR POSITIONING SYSTEM USING RECEIVED SIGNAL STRENGTH (RSS) – BASED WLAN FINGERPRINTING," M.Sc Electronics Engineering and Information Technology Dissertation, Electronics and Telecommunication Engineering, University of Dar es Salaam, September 2015.

. R. Peng and M. L. Sichitiu, "Angle of arrival localization for wireless sensor networks," presented at the Sensor and Ad Hoc Communications and Networks, 2006. SECON'06. 2006 3rd Annual IEEE Communications Society on, 2006.

] M. Porretta, P. Nepa, G. Manara, and F. Giannetti, "Location, location, location," Vehicular Technology Magazine, IEEE, vol. 3, pp. 20-29, 2008.

. S. Chan and G. Sohn, "Indoor localization using Wi-Fi based fingerprinting and trilateration techiques for LBS applications," International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38, p. 4, 2012.

. M. Rainer, "Indoor Positioning Technologies," ETH Zurich University.2012.

. K. Al Nuaimi and H. Kamel, "A survey of indoor positioning systems and algorithms," in Innovations in Information Technology (IIT), 2011 International Conference on, 2011, pp. 185-190.

. M. Yavari, "Indoor Real-Time Positioning Using Ultra-Wideband Technology," 2015.

. H. Koyuncu and S. H. Yang, "A survey of indoor positioning and object locating systems," IJCSNS International Journal of Computer Science and Network Security, vol. 10, pp. 121-128, 2010.

. R. Harle, "A survey of indoor inertial positioning systems for pedestrians," Communications Surveys & Tutorials, IEEE, vol. 15, pp. 1281-1293, 2013.

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Published

2016-05-03

How to Cite

R. Mrindoko, N., & M. Minga, D. L. (2016). A Comparison Review of Indoor Positioning Techniques. International Journal of Computer (IJC), 21(1), 42–49. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/606

Issue

Vol. 21 No. 1 (2016)

Section

Articles

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