A New Algorithm of Mobile Node Localization Based on RSSI

.
DOI: 10.4236/wet.2011.22016   PDF   HTML   XML   6,207 Downloads   12,368 Views   Citations

Abstract

Position mobile node coordinate is a key component to determine the accuracy and efficiency of positioning in wireless sensor networks. Flexible location algorithm admits to adjust the accuracy and time cost of positioning based on the users references. This paper develops a location algorithm named Signal Strengthening Dynamic Value (SSDV) based on the database of RSSI to position the mobile node in terms of the value of beacon nodes RSSI. The proposed algorithm has successfully improved the accuracy of mobile nodes positioning and real-time, and simulation results show high performance in effectiveness of the algorithm.

Share and Cite:

J. Zhan, H. Liu and B. Huang, "A New Algorithm of Mobile Node Localization Based on RSSI," Wireless Engineering and Technology, Vol. 2 No. 2, 2011, pp. 112-117. doi: 10.4236/wet.2011.22016.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] F. B. Wang, L. Shi and F. Y. Ren, “Self-Localization Systems and Algorithms for Wireless Sensor Networks,” Journal of Software, Vol. 16, No. 5, 2005, pp. 857-868. doi:10.1360/jos160857
[2] L Doherty, K. S. J. Pister and L. E. Ghaoui, “Convex Position Estimation in Wireless Sensor Networks,” Proceedings of the 20th Annual Joint Conference of the IEEE Computer and Communications Societies, Anchorage, Vol. 3, 22-26 April 2001, pp. 1655-1663. doi:10.1023/A:1023403323460
[3] D. Niculescu and B. Nath, “DV Based Positioning in Ad Hoc Networks,” Journal of Telecommunication Systems, Vol. 22, No. 4, 2003, pp. 267-280.
[4] M.-H. Jin, E. H.-K. Wu, Y.-B. Liao and H.-C. Liao, “802.11-Based Positioning System for Context Aware Applications,” Proceedings of Global Telecommunications Conference, Vol. 2, 1-5 December 2003, pp. 929- 933.
[5] L. Girod and D. Estrin, “Robust Range Estimation Using Acoustic and Multimodal Sensing,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, 29 October-3 November 2001, pp. 1312-1320.
[6] L. Girod, V. Bychovskiy, J. Elson and D. Estrin, “Locating Tiny Sensors in Time and Space: A Case Study,” In: B. Werner, Ed., Proceedings of the IEEE International Conference on Computer Design: VLSI in Computers and Processors, Freiburg, 16-18 September 2002, pp. 214-219.
[7] J. Zhan, L.-X. Wu and Z.-J. Tang, “Research on Ranging Accuracy Based on RSSI of Wireless Sensor Network,” Telecommunication Engineering, Vol. 50, No. 4, 2010, pp. 83-87.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.