WiFi positioning overview

As the swift development and deployment of WiFi networking infrastructure with the lower price to provide the wider coverage, WiFi-based positioning approaches have been one of the 'best practices' in both outdoor and indoor environment. In this paper, an overview of various approaches for WiFi-based positioning is presented. The WiFi-based positioning approaches are categorised into cell-ID, angle of arrival (AOA), received signal strength (RSS), time of arrival (TOA) and time difference of arrival (TDOA). The basic idea and ranging accuracy are presented to compare the different approaches. As the most practical methods, fingerprinting and TDOA approaches are elaborated and some advanced methods based on them are also provided to show the improvement. The different approaches are basically evaluated by their ranging accuracy, but the system privacy and scalability, as the other two key directions to evaluate a positioning system, are also discussed in this paper.

[1]  Yunhao Liu,et al.  ANDMARC: Indoor Location Sensing Using Active RFID , 2003, PerCom.

[2]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[3]  Qian Zhang,et al.  Code-Centric RFID System Based on Software Agent Intelligence , 2010, IEEE Intelligent Systems.

[4]  Sinan Gezici,et al.  A Survey on Wireless Position Estimation , 2008, Wirel. Pers. Commun..

[5]  Bill N. Schilit,et al.  Place Lab: Device Positioning Using Radio Beacons in the Wild , 2005, Pervasive.

[6]  Min Chen,et al.  Energy-efficient differentiated directed diffusion (EDDD) in wireless sensor networks , 2006, Comput. Commun..

[7]  Sverre Holm,et al.  Hybrid ultrasound-RFID indoor positioning: Combining the best of both worlds , 2009, 2009 IEEE International Conference on RFID.

[8]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[9]  C. Rizos,et al.  Method for yielding a database of location fingerprints in WLAN , 2005 .

[10]  Rudolf Mathar,et al.  Location tracking of mobiles in cellular radio networks , 1999 .

[11]  Israel Martín-Escalona,et al.  Impact of geometry on the accuracy of the passive-TDOA algorithm , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[12]  Gaetano Borriello Location Sensing Techniques , 2001 .

[13]  P. Bezousek,et al.  A TDOA system using received signal decomposition on delayed replicas , 2008, 2008 International Radar Symposium.

[14]  Alessandro Genco Three Step Bluetooth Positioning , 2005, LoCA.

[15]  Hakima Chaouchi,et al.  Simulation-Based Analysis for a Heterogeneous Indoor Localization Scheme , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

[16]  Polly Huang,et al.  Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics , 2005, MSWiM '05.

[17]  Henry Tirri,et al.  A Probabilistic Approach to WLAN User Location Estimation , 2002, Int. J. Wirel. Inf. Networks.

[18]  Victor C. M. Leung,et al.  Directional geographical routing for real-time video communications in wireless sensor networks , 2007, Comput. Commun..

[19]  Andrew G. Dempster,et al.  Indoor Positioning Techniques Based on Wireless LAN , 2007 .

[20]  B. R. Badrinath,et al.  VOR base stations for indoor 802.11 positioning , 2004, MobiCom '04.

[21]  Qian Zhang,et al.  A 2G-RFID-based e-healthcare system , 2010, IEEE Wireless Communications.

[22]  Tetsuya Miki,et al.  A Novel Wireless Positioning System for Seamless Internet Connectivity based on the WLAN Infrastructure , 2008, Wirel. Pers. Commun..

[23]  J. Rodas,et al.  Bayesian filtering for a bluetooth positioning system , 2008, 2008 IEEE International Symposium on Wireless Communication Systems.

[24]  Roberto Battiti,et al.  Location-aware computing: a neural network model for determining location in wireless LANs , 2002 .

[25]  Takeshi Kato,et al.  TDOA location system for IEEE 802.11b WLAN , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[26]  Victor C. M. Leung,et al.  Applications and design issues for mobile agents in wireless sensor networks , 2007, IEEE Wireless Communications.

[27]  Haiyun Luo,et al.  Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure , 2010, Wirel. Networks.

[28]  Josef Hallberg,et al.  Positioning with Bluetooth , 2003, 10th International Conference on Telecommunications, 2003. ICT 2003..

[29]  K. Pahlavan,et al.  Comparison of indoor geolocation methods in DSSS and OFDM wireless LAN systems , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[30]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[31]  Antonio Iera,et al.  On Potentials and Limitations of a Hybrid WLAN-RFID Indoor Positioning Technique , 2010 .

[32]  Yamazato Takaya,et al.  TOA UWB Position Estimation with 2 receivers and one known reflector , 2009 .

[33]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[34]  Gaetano Borriello,et al.  WALRUS: wireless acoustic location with room-level resolution using ultrasound , 2005, MobiSys '05.

[35]  Andy Hopper,et al.  The Anatomy of a Context-Aware Application , 1999, Wirel. Networks.