The Selection of the Nearest Anchor Using Received Signal Strength Indication (RSSI)

The localization information is crucial for the operation of WSN. There are principally two types of localization algorithms. The Range-based localization algorithm has strict requirements on hardware, thus is expensive to be implemented in practice. The Range-free localization algorithm reduces the hardware cost. However, it can only achieve high accuracy in ideal scenarios. In this paper, we locate unknown nodes by incorporating the advantages of these two types of methods. The proposed algorithm makes the unknown nodes select the nearest anchor using the Received Signal Strength Indicator (RSSI) and choose two other anchors which are the most accurate to achieve the estimated location. Our algorithm improves the localization accuracy compared with previous algorithms, which has been demonstrated by the simulating results.

Authors:

• Hichem Sassi
• Tawfik Najeh
• Noureddine Liouane

Keywords:

• WSN
• localization
• DV-hop
• RSSI.

References:

[1] X. Wang, Z. Wang, B. O’Bea, “A TOA-based location algorithm
reducing the errors due to non-line-of-sight (NLOS)propagation,”.IEEE
Transations on vehicle Technology,vol. 52, pp.112-116, January 2003.
[2] K. C. Ho, W. Xu, “An accurate algebratic solution for moving source
location using TDOA and FDOA measurements,” IEEE Transactionson
Signal Processing, vol. 52, pp.2453-2463, September 2004.
[3] M. Bousshaba, A. Hafid, A. Benslimane, “High accuracy localization
method using AOA in sensor networks,” Computer Networks, vol .53,
pp.3076-3088,August 2009.
[4] H. H. Cho, R. H. Lee, J. G. Park ,“Adaptive Parameter Estimation
Method for Wireless Localization Using RSSI Measurements,” Journal
of Electrical Engineering& Technology,vol.6,pp.883-887,2011.
[5] L. Cheng, C. Wu, Y. Zhang, “Indoor Robot Localization Based on
Wireless Sensor Networks,” IEEE Transactions on Consumer
Electronics, vol.57, pp.1099-1104, August 2011.
[6] X. Wang, S. Yuan, R. Laur, W. Lang, “Dynamic localization based on
spatial reasoning with RSSI in wireless sensor networks fortransport
logistics,” Sensors and Actuators A- Physical, vol.171,pp.421-
428,November 2011.
[7] J. Zhang, Y. H. Wu, F. Shi, F. Geng. “Localization algorithm based on
DV-HOP for wireless sensor networks,” Journal of Computer
Applications， vol. 30, pp. 323-326, February 2010.
[8] J. Wang, J. Q. Fu. “Research on APIT and Monte Carlo Method of
Localization Algorithm for Wireless Sensor Networks,”International
Conference on Intelligent Computing for Sustainable Energy and
Environment， vol.6329, pp.128-137, Wuxi, 2010.
[9] Y. Yu, C. Jiang, X. Zhao, L. Yun, Z. Li, Y. Ren. “Sequence-based
localization algorithm with improved correlation metric and dynamic
centroid,” Science China Information Sciences, vol.54, pp .2349- 2358,
November 2011.
[10] H. Sassi, T. Najeh, N. Liouane, “A Selective 3-Anchor DV-Hop
Algorithm Based On the nearest anchor for wireless sensor network,”
International Journal of Computer, Information, Systems and Control
Engineering Vol: 8 No: 10, 2014.
[11] S. Tian, X. Zhang, P. Liu, P. Sun, X. Wang “ A RSSI-based DV-hop
Algorithm for Wireless Sensor Networks ” Department of Computer
Science and Technology University of Science and Technology of
China, IEEE, 2007.
[12] Niculescu D, Nath B. DV, “based positioning in ad hoc networks,”
Telecommunication Systems, 22(1-4): 267- 280, 2003.
[13] Linqing GUI, These “Improvement of Range-free Localization Systems
in Wireless Sensor Networks,” Institut National des Sciences Appliquées
de Toulouse (INSA Toulouse), Feb. 2013.