The week's pick
Reseach Article
Survey of Indoor Positioning Measurements, Methods and Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 140 - Number 7 |
| Year of Publication: 2016 |
| Authors: Siddhesh Doiphode, J.W. Bakal, Madhuri Gedam |
10.5120/ijca2016909361
|
Siddhesh Doiphode, J.W. Bakal, Madhuri Gedam . Survey of Indoor Positioning Measurements, Methods and Techniques. International Journal of Computer Applications. 140, 7 ( April 2016), 1-4. DOI=10.5120/ijca2016909361
Abstract
The continuous improvement in the development in the field of communication networks and mobile computing, location based service (LBS) has become very popular in recent years. For outdoor positioning service the Global Positioning Systems (GPS) are the earliest widely used modern systems. In GPS technology Satellite signals cannot penetrate in indoor environment since they are blocked by building obstructions thus satellite signal cannot provide good accuracy in indoor environments due to lack of LoS(Line Of Sight). On doing research it is being observed that in the near future, indoor positioning will gain more demand as people spend more than 70% of their lives in indoor environment. A large variety of technologies have been designed for dealing with the problem since the indoor environments are very difficult to track .The paper also provide brief description on various indoor wireless tracking measurements, methodologies and technologies. The paper illustrates the theoretical points, the main tools, and the most promising technologies for indoor tracking infrastructure.
References
- S.Tekinay, “Wireless geolocation systems and services,”IEEE Communications Magazine, vol. 36, no.4, pp. 28–29,April 1998Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
- J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale,and S. Shafer, “Multi-camera multi-person tracking for easy living,” in Proceedings of IEEE International Workshop on Visual Surveillance, pp. 3–10, Washington, DC, July 2000
- T. Gigl, G. J. M. Janssen, V. Dizdarevic, K.Witrisal, and Z. Irahhauten, "Analysis of a UWB Indoor Positioning System Based on Received SignalStrength," in Positioning, Navigation and Communication, 2007. WPNC '07. 4th Workshop , 2007, pp. 97-101
- R. Azuma, “Tracking requirements for augmented reality,”Communications of ACM, vol. 36, no. 7, pp. 50–51, July 1993
- R. Azuma, “Tracking requirements for augmented reality,”Communications of ACM, vol. 36, no. 7, pp. 50–51, July 1993
- Hadis Kakanejadi Fard, Yuanzhu Chen, and Kyung Kook Son “Indoor Positioning of Mobil Deviceswith Agile iBeacon Deployment”
- Chouchang Yang and Huai-Rong Shao”The Future of Wi-Fi WiFi-Based Indoor Positioning” IEEE Communications Magazine March 2015
- S. Mazuelas, A. Bahillo, R. Lorenzo, P.Fernandez, F.Lago, E. Garcia, J. Blas, and E. Abril, “Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks,” IEEE Journal Selected Topics in Signal Processing , vol. 3,pp
- H. Liu, H. Darabi, P. Banerjee, and J. Liu, “Survey of wireless indoor positioning techniques and systems,”IEEE Transactions on Systems,Man, and Cybernetics, Part C, vol. 37, pp. 1067–1080,November 2007M.
- M. Robinson and I. Psaromiligkos, “Received signal strength based location estimation of a wireless LAN client,” in Proceedings of IEEE Wireless Communications and Networking Conference, vol. 4,pp.2350–2354, New Orleans, LA, March 2005
- K. Curran, E. Furey, T. Lunney, J. Santos, D.Woods, and A. McCaughey, “An evaluation of Indoor location determination technologies,” J.Location Based Services, vol. 5, no. 2, pp. 61–78, 2011
- J. M. Castro-Arvizu, P. Closas, and J. A. Fernández- Rubio, “Cramér–Rao lower bound for breakpoint Distance estimation in a path-loss model,” in Proc.IEEE ICC Workshop Adv. Netw. Localization Navigation. Sydney, Australia, Jun. 2014.
- Z. Sahinoglu, S. Gezici, and I. Guvenc, Ultra-Wideband Positioning Systems: Theoretical Limits,Ranging Algorithms, and Protocols Cambridge, U.K.: Cambridge Univ. Press, 2008
- B. T. Fang, “Simple solutions for hyperbolic and Related position fixes,”IEEE Trans. Aerospace Electron. Syst., vol. 26, no. 5, pp. 748–753 Sep. 1990.
- M. Scherhaufl et al., “Indoor localization of passive UHF RFID tags based on phase-of-arrival evaluation,”IEEE Trans. M icrow. Theory Techn. vol. 61, no. 12, pp. 4724–4729, Dec. 2013.
- Sinem Bozkurt, Ahmet YazÕcÕ , Serkan Gunal, Ugur Yayan, Fatih Inan “A Novel Multi-Sensor And Multi-Topological Database for Indoor Positioning on Fingerprint Techniques” IEEE
- W. Yeung and J. Ng, “An enhanced wireless LAN positioning algorithm based on the fingerprint Approach,” in Proceedings of IEEE TENCON, pp.1–4, Hong Kong, November 2006
- V. Otsason, A. Varshavsky, A. LaMarca, and E. de Lara, “Accurate GSM indoor localization,”UbiComp 2005, Lecture Notes Computer Science, Springer-Varlag, vol. 3660, pp. 141–158, 2005.
- R. D. Taranto, R. Raulefs, D. Slock, T. Svensson, and H. Wymeer-sch, “Location-aware communications for 5G networks,” IEEE Signal Process. Mag., vol. 31, no. 6, pp.102–112, Nov.2014.
- Fed. Commun. Comm., “Revision of Part 15 of the Commission’s rules regarding ultra-wideband Transmission systems, first report and order,” Washington, DC, USA, ET Docket 98-153, Feb. 14, 2002, Apr.
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