Abstract
Current indoor localisation systems make use of common wireless signals such as Bluetooth, WiFi to track the users inside a building. Amongst those, Bluetooth has been widely known for its low-power consumption, small maintenance cost, as well as its wide-spread amongst the commodity devices. Understanding the properties of such wireless signal definitely aids the tracking system design. However, little research has been done to understand the properties of Bluetooth wireless signal amongst the current Bluetooth-based tracking systems. In this chapter, the most important Bluetooth properties related to indoor localisation are experimentally investigated from a statistical perspective. A Bluetooth-based tracking system is proposed and evaluated with the location fingerprinting technique to incorporate the Bluetooth properties described in the chapter.
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
Addlesee M, Curwen R, Hodges S, Newman J, Steggles P, Ward A, Hopper A (2001): Implementing a sentient computing system. IEEE Comput 34:50–56
Anastasi G, Bandelloni R, Conti M, Delmastro F, Gregori E, Mainetto G (2003) Experimenting an indoor Bluetooth-based positioning service. In Proceedings of the 23rd international conference on distributed computing systems workshops, pp 480–483
Bahl P, Padmanabhan V (2000) RADAR: an in-building RF-based user location and tracking system. INFOCOM 2000, 19th Annual joint conference of the IEEE computer and communications societies, vol 2, pp 775–784
Bargh M, Groote R (2008) Indoor localization based on response rate of Bluetooth inquiries. MELT 2008. Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Battiti R, Nhat T, Villani A (2002) Location-aware computing: a neural network model for determining location in wireless LANs. Technical report DIT-02-0083, University of Trento
Brunato M, Kallo C (2002) Transparent location fingerprinting for wireless services. Technical report DIT-02-071, University of Trento
Bruno R, Delmastro F (2003) Design and analysis of a Bluetooth-based indoor localization system. Personal wireless communications, pp 711–725
Chandra S (2003) Wireless network interface energy consumption. Multimedia Syst J 9:185–201 (Springer)
Frost C, Jensen CS, Luckow KS, Thomsen B, Hansen R (2012) Bluetooth Indoor positioning system using fingerprinting. Mobile lightweight wireless systems, pp 136–150
Hay S, Harle R (2009) Bluetooth tracking without discoverability. Location and context awareness. Lect Notes Comput Sci 5561:120–137
Harter A, Hopper A, Steggles P, Ward A, Webster P (1999) The anatomy of a context-aware application. MobiCom 1999. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking, pp 59–68
Hightower J, Boriello G (2001) Location systems for ubiquitous computing. IEEE Comput Mag 34(8):57–66
Huang A (2005) The use of Bluetooth in Linux and location aware computing. M.Sc Thesis, MIT
Hallberg J, Nilsson M, Synnes K (2003) Positioning with Bluetooth. ICT 2003: Proceedings of the 10th international conference on telecommunications, pp 954–958
Jevring M, Groote R, Hesselman C (2008) Dynamic optimization of Bluetooth networks for indoor localization. AASN 2008: First international workshop on automated and autonomous sensor networks
Kaemarungsi K, Krishnamurthy P (2004) Modeling of indoor positioning systems based on location fingerprinting. INFOCOM 2004. 23rd annual joint conference of the IEEE computer and communications societies
Li B, Salter J, Depster A, Rizos C (2006) Indoor positioning techniques based on wireless LAN. In Proceedings of the 1st IEEE International conference on wireless broadband and ultra wideband communications
Lin T, Lin P (2005) Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks. In: Proceedings of the 2005 international conference on wireless networks, communications and mobile computing
Madhavapeddy A, Tse A (2005) A study of Bluetooth propagation using accurate indoor location mapping. UbiComp 2005
Naya F, Noma H, Ohmura R, Kogure K (2005) Bluetooth-based indoor proximity sensing for nursing context awareness. In: Proceedings of the 9th IEEE international symposium on wearable computers, pp 212–213
Nguyen KA (2011) Robot-based evaluation of bluetooth fingerprinting. M.Phil thesis. University of Cambridge
Orozco-Ochoa S, Vila-Sobrino XA, RodrÃguez-Damián M, RodrÃguez-Linares L (2011) Bluetooth-bases system for tracking people localization at home. Advances in intelligent and soft computing, Vol 91/2011, pp 345–352
Priyantha N (2005) The cricket indoor location system. Ph.D thesis. MIT
Pandya D, Jain R, Lupu E (2003) Indoor location estimation using multiple wireless technologies. PIMRC 2003: 14th IEEE proceedings on personal, indoor and mobile radio communications, pp 2208–2212
Taheri A, Singh A, Agu E (2004) Location fingerprinting on infrastructure 802.11 wireless local area networks (WLANs) using Locus. In: Proceedings of the 29th Annuel IEEE international conference on local computer networks
Wang R, Zhao F, Luo H, Lu B, Lu T (2011) Fusion of Wi-Fi and Bluetooth for indoor localization. In: Proceedings of the 1st international workshop on mobile location-based service, pp 63–66
Want R, Hopper A, Falcao V, Gibbons J (1992) The active badge location system. ACM Trans Inf Syst 10:91–102
Xiang Z, Song S, Chen J, Wang H (2004) A wireless LAN-based indoor positioning technology. IBM J Res Dev
Youssef M, Agrawala A (2003) On the optimality of WLAN location determination systems. Technical report. CS-TR-4459 UMIACS, University of Maryland
Youssef M, Agrawala A (2005) The Horus WLAN location determination system. MobiSys 2005. In: Proceedings of the 3rd international conference on Mobile systems, applications, and services
Acknowledgments
The authors would like to thank Dr. Robert Harle for his advices in this work. Some of the experiments were performed at the Computer Lab, University of Cambridge. This project is funded by Royal Holloway, University of London.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Nguyen, K., Luo, Z. (2013). Evaluation of Bluetooth Properties for Indoor Localisation. In: Krisp, J. (eds) Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34203-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-34203-5_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34202-8
Online ISBN: 978-3-642-34203-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)