Abstract
Indoor wireless network based client localisation requires the use of a radio map to relate received signal strength to specific locations. However, signal strength measurements are time consuming, expensive and usually require unrestricted access to all parts of the building concerned. An obvious option for circumventing this difficulty is to estimate the radio map using a propagation model. This paper compares the effect of measured and simulated radio maps on the accuracy of two different methods of wireless network based localisation. The results presented indicate that, although the propagation model used underestimated the signal strength by up to 15 dB at certain locations, there was not a signigicant reduction in localisation performance. In general, the difference in performance between the simulated and measured radio maps was around a 30% increase in rms error.
References
P. Bahl and V.N. Padmanabhan, “RADAR: An In-Building RF-Based User Location and Tracking System”, Proceeedings IEEE Infocom, Tel Aviv, Israel, pp. 775–784, 2000.
Roos T., Myllymaki P., Tirri H., Misikangas P., Sievanen J. (2002) “A Probabilistic Approach to WLAN User Location Estimation”. International Journal Wireless Information Networks. 9, 155–164
G.V. Zaruba, M. Huber, and F.A. Kamanger, “Monte Carlo Sampling Based In-Home Location Tracking With Minimal RF Infrastructure Requirements”, Texas, Technical Report CSE-2002-6, Department of Computer Science, University of Texas, 2002.
A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, “The Anatomy of a Context-Aware Application”, Proceedings 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, WA, pp. 59–68, 1999.
Want R., Hopper A., Falcao V., Gibbons J. (1992) “The Active Badge Location System”. ACM Transactions on Information Systems. 10, 91–102
N.B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The Cricket-Location Support System”, Proceedings 6th Annual ACM International Conference on Mobile Computing and Networking, Boston, MA, pp. 32–43, 2000.
Durgin G., Rappaport T.S., Xu H. (1998) “Measurements and Models for Radio Path Loss and Penetration Loss In and Around Homes and Trees at 5.85 GHz”. IEEE Transactions on Communications. 46, 1484–1496
Rappaport T.S., Seidel S.Y., Takamizawa K. (1991) “Statistical Channel Impulse Response Models for Factory and Open Plan Building Radio Communication System Design”. IEEE Transactions on Communications. 39, 794–806
Hashemi H. (1993) “Impulse Response Modeling of Indoor Radio Propagation Channels”. IEEE JSAC. 11, 967–978
Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P. (1993) Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, Cambridge
Deasy T.P., Scanlon W.G. (2004) “Stepwise Algorithms for Improving the Accuracy of Both Deterministic and Probabilistic Methods in WLAN-based Indoor User Localisation”. International Journal of Wireless Information Networks. 11(4): 207–216
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Deasy, T.P., Scanlon, W.G. Simulation or Measurement: The Effect of Radio Map Creation on Indoor WLAN-Based Localisation Accuracy. Wireless Pers Commun 42, 563–573 (2007). https://doi.org/10.1007/s11277-006-9211-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-006-9211-x