A Decentralized Positioning Method for Wireless Sensor Networks

Article Preview

Abstract:

The three-dimensional positioning algorithm has become a hot research direction in wireless sensor networks localization algorithms, however the existing 3D positioning algorithms have general shortcomings, such as high complexity, low positioning accuracy, great energy consumption. Aiming at the existing problems of 3D localization algorithm, we propose an decentralized 3D positioning algorithm based on RSSI ranging and free ranging mechanism. The algorithm firstly use measured RSSI to establish beacon node neighborhood. Then the method adopts regional division to obtain initial location information for unknown nodes. Finally, the method use the iterative optimization process to achieve a position information updates. Simulation results demonstrate that proposed algorithm is feasible and has better localization accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1194-1197

Citation:

Online since:

October 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. sepulcre, et al. Wireless connectivity for mobile sensing applications in industrial environments. Proc. IEEE Symposium on industrial Embedded Systems(SIES), 2011, 111-114.

DOI: 10.1109/sies.2011.5953693

Google Scholar

[2] Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., And Cayirci, E. Asurvey on senor neworks. IEEE Commun. Mag. 2002, 40: 102-114.

DOI: 10.1109/mcom.2002.1024422

Google Scholar

[3] A. Hossain, Y. Jin, W. Soh, and H. Van. Ssd: A robust rf location fingerprint addressing mobile devices' heterogeneity. IEEE Transactions on Mobile Computing, 2011, 99, 1-7.

DOI: 10.1109/tmc.2011.243

Google Scholar

[4] P. Chen et al. Instrumenting Wireless Sensor Networks for Real-time Surveillance. In Proc. IEEE ICRA'06, Orlando, Florida, USA, 2006, May 15-19: 3128-3133.

Google Scholar

[5] J. Xu, M. Ma, and C. Law. Performance of time-difference-of-arrival ultra wideband indoor localization. Science, Measurement Technology, IET, 2011, 5(2): 46-53.

DOI: 10.1049/iet-smt.2010.0051

Google Scholar

[6] T. Antoine-Santoni, J.F. Santucci, E. de Gentili, X. Silvani, and F. Morandini. Performance of a Protected Wireless Sensor Network in a Fire. Analysis of Fire Spread and Data Transmission. in Sensors, 2009, 9(8): 5878-5893.

DOI: 10.3390/s90805878

Google Scholar

[7] C. -Y. Chong and S.P. Kumar. Sensor networks: Evolution, opportunities, and challenges. Proc. IEEE, 2003, Aug: 1247-1256.

DOI: 10.1109/jproc.2003.814918

Google Scholar

[8] G.S. Kuruoglu, M. Erol, M. and S. Oktug. Localization in Wireless Sensor Networks with Range Measurement Errors. In Proc. IARIA AICT'09, Venice, Italy, 2007, October 8-11: 1-3.

DOI: 10.1109/aict.2009.51

Google Scholar

[9] Ferrigno L., Paciello V., Pietrosanto A. Experimental Characterization of Synchronization Protocols for Instrument Wireless interface. IEEE Transactions on Instrumentation and Measurement, 2011, 60(3): 1037-1046.

DOI: 10.1109/tim.2010.2060224

Google Scholar