1. Performance Evaluation of RFID-Based Indoor Localization Technology and System
G.A. Oguntala , A. Atojoko, N. Eya, R.A. Abd-Alhameed
Department Of Electrical Engineering And Computer Science
University of Bradford, Bradford, West Yorkshire, BD7 1DP, UK
Festival of Radio Science
16th Dec 2015, Manchester, UK
COMPARATIVE TABLE OF INDOOR SYSTEMS
ABSTRACT
The proliferation of wireless sensor networks and ubiquitous computing has led to the realization of localization systems using diverse technologies and techniques. The inefficiency of GPS for indoor applications has necessitated intense research into indoor localization technologies and systems. The purview of the poster is to provide a review of the current trend and advances in Indoor localization. An evaluation into the performance of these indoor localization techniques and technologies is analyzed using a common metric of comparison between them. The result emphasized the desirable characteristics of RFID technology over other and the need for further research into RFID-enabled hybrid systems.
AIM AND OBJECTIVES
AIM: To establish the viability of RFID technology over other indoor localization technologies
OBJECTIVES
To review the various existing indoor localization techniques and technologies.
To highlight the drawbacks of each of these indoor technologies.
To evaluate comparatively these technologies
To generate an analytical representation of the comparisons
(a) )
RESULT AND CONCLUSION
INDOOR TECHNOLOGIES AND THEIR LIMITATION
1. Infrared: Effective for distance estimation.
Popular Drawback: (i) Longer time to compute. (ii) Alignment of large number of receiver is required.
Ultrasonic: Reliable for open space in an indoor environment.
Drawback: (i) It is short-ranged. (ii) Suffers from NLOS. (iii) making it almost impractical for indoor applications.
Wi-fi:
Drawback: (i) Reliable positioning of an object can be achieved , provided the object also support Wifi systems (ii) Hardly inapplicable for frequent mobile devices.
Bluetooth: Pervasively available, Support wide range of applications and other network services.
Drawbacks: (i). It is short-ranged. (ii). Low bit rate (iii). Low processing rate.
5. Zigbee:
UWB: No NLOS and Multipath effect, readily available in cheap sensor.
Drawback: (i). It is short-ranged. (ii). Require several receivers for implementation.
7. RFID: Non-specific short ranged. Readily available in NLOS and cheap. High data rate, wireless zero-power capability.
The performance comparison of the various indoor localization technologies and systems showed that each technology is characterized with one or more unique advantage over the others. However, the desirable capabilities of RFID-based indoor localization teachnology in terms of higher accuracy, higher energy efficiency using passive tags, low cost, scalability and immense robustnness when used with device is significant even when used with other technology as an hybrid system.
TAXONOMY OF INDOOR LOCALIZATION TECHNIQUES
Indoor Localization Techniques
Scene Analysis
Dead Reckoning
Proximity
Triangulation
Multilateration (Distance-based)
Angulation
(Direction-based)
Time-based (ToA, TDoA)
Received Signal Strength (RSS)
Angle-based
(AoA)
FUTURE RESEARCH
It is difficult to forsee what new technology. However, Future reseaerch into indoor localization should tend to the development of more scalable, energy efficient RFID-enabled Hybrid System (RHS). Since RFID technology does not in reality provides the full requirement needed in localizing target object. The formation of RHS will therefore tends to utilize the drawback of one technology by the other constituent technology which will eventually lead a more robust, accurate, energy effcient RFID Hybrid System.
References:
T. Sanpechuda, L. Kovavisaruch. “A Review of RFID Localization: Applications and Techniques. Proccedings of ECTI-CON 2008
Z. Farid, R. Nordin, M. Ismail. “Recent Advances in Wireless Indoor Localization Techniques and Systems. Journal of Computer Networks and Communication. Hindawi Publications. 2013
W. Elloumi, K. Guissous, A. Chetouani, R. Canals, R. Leconge, B. Emile. “Indoor Navigation Assisatance with a Smartphone Camera based on Vanishing Points. IEEE International Conference on Indoor Positioning and Indoor Navigation
J. Vongkulbhisal, M. Saadi, Y. Zhao. “An RFID-based Indoor Localization Systems Using Antenna Beam Scanning. International Technical Conference on Circuit/Systems Computers and Communication, 2014.
Figure 1:Indoor Localization Techniques.