Abstract
In order to suppress effectively the effects of environmental factors on location precision, Gaussian model was used to get the final measured Received Signal Strength Indication (RSSI). Based on improved the trilateration localization algorithm and the distance difference correction localization algorithm, the direction correction factor and distance threshold are defined, and a new adaptive distance correction localization algorithm are proposed. The experimental results showed that this algorithm could well improve the location precision, whose location error was less than 5.93%. Besides, this algorithm needn’t additional hardware spending, so it is quite practical for locating in most applications.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Madigan, D., Einahrawy, E., Martin, R., et al.: Bayesian indoor positioning systems. In: IEEE INFOCOM 2005, pp. 1217–1227 (2005)
Chen, W., Li, W., et al.: Weighted Centroid Localization Algorithm Based on RSSI for Wireless Sensor Networks. Journal of Wuhan University of Technology 30(2), 256–268 (2006) (in Chinese)
Xu, J.-Q., Liu, W., et al.: RSSI-Based Anti-interference WSN Positioning Algorithm. Journal of Northeastern University 31(5), 647–650 (2010) (in Chinese)
Kwon, Y., Mechitov, K., Sundresh, S., et al.: Resilient localization for sensor networks in outdoor environments. In: Proceedings of the 25th International Conference on Distributed Computing Systems(ICDCS), Columbus, Ohio, USA, pp. 43–652 (2005)
Rappaport, T.S.: Wireless communications: principles and practice. Prentice Hall PTR (1996)
Zhang, J.-W., Zhang, L., et al.: Research on Distance Measurement Based on RSSI of ZigBee. Chinese Journal of Sensors and Actuators 22(2), 285–288 (2009)
Sheng, Z., Xie, S.: rar -Probability Theory and Mathematical Statistics, pp. 94–95. High Education Press, Beijing (2009) (in Chinese)
Li, S.-C., Zhang, K.-W.: Principles and Applications of Wireless Sensor Networks. China Machine Press, Beijing (2008) (in Chinese)
Ren, W.-Z., Xu, L.-M., et al.: Distance Difference Localization Algorithm Based on RSSI for Wireless Sensor Networks. Chinese Journal of Sensors and Actuators 21(7), 1248–1249 (2008); (in Chinese)
Zhang, C.-A., Ma, Y.-Y., et al.: Implement of Weighted Centroid Localization Algorithm Based on RSSI. Journal of Taiyuan University of Technology 40(2) (2009) (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Huang, W., Zhang, Z., Wang, R., Lin, X., Huang, Y. (2012). An Adaptive Distance Correction Localization Algorithm Based on RSSI for WSNs. In: Zhang, Y. (eds) Future Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27323-0_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-27323-0_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27322-3
Online ISBN: 978-3-642-27323-0
eBook Packages: EngineeringEngineering (R0)