WSN  Vol.2 No.8 , August 2010
Distance Measurement Model Based on RSSI in WSN
Abstract: The relationship between RSSI (Received Signal Strength Indication) values and distance is the foundation and the key of ranging and positioning technologies in wireless sensor networks. Log-normal shadowing model (LNSM), as a more general signal propagation model, can better describe the relationship between the RSSI value and distance, but the parameter of variance in LNSM is depended on experiences without self-adaptability. In this paper, it is found that the variance of RSSI value changes along with distance regu- larly by analyzing a large number of experimental data. Based on the result of analysis, we proposed the relationship function of the variance of RSSI and distance, and established the log-normal shadowing model with dynamic variance (LNSM-DV). At the same time, the method of least squares(LS) was selected to es- timate the coefficients in that model, thus LNSM-DV might be adjusted dynamically according to the change of environment and be self-adaptable. The experimental results show that LNSM-DV can further reduce er- ror, and have strong self-adaptability to various environments compared with the LNSM.
Cite this paper: nullJ. Xu, W. Liu, F. Lang, Y. Zhang and C. Wang, "Distance Measurement Model Based on RSSI in WSN," Wireless Sensor Network, Vol. 2 No. 8, 2010, pp. 606-611. doi: 10.4236/wsn.2010.28072.

[1]   A. Nafarieh and J. How. “A Testbed for Localizing Wireless LAN Devices Using Received Signal Strength,” Communication Networks and Services Research Con- ference, Halifax, 2008, pp. 481-487.

[2]   G. Eason, B. Noble and I. N. Sneddon, “On Certain Integrals of Lipschitz-Hankel Type Involving Products of Bessel Functions,” Philosophical Transactions of Royal Society, London, Vol. A247, April 1955, pp. 529-551.

[3]   K. K. Sharma and S. D. Joshi, “Signal Separation Using Linear Canonical and Fractional Fourier Transforms,” ScienceDirect, Vol. 265, No. 2, 2006, pp. 454-460.

[4]   A. Ghasemi and S. Elvino, “Asymptotic Performance of Collaborative Spectrum Sensing under Correlated Log- Normal Shadowing,” Communications Letters, Vol. 11, No. 1, 2007, pp. 34-36.

[5]   K. Yu and Y. J. Guo, “Non-Line-of-Sight Detection Based on TOA and Signal Strength,” Personal, Indoor and Mobile Radio Communications, Cannes, 2008, pp. 1-5.

[6]   J. I. Kim, J. G. Lee and C. G. Park, “A Mitigation of Line-of-Sight by TDOA Error Modeling in Wireless Communication System,” International Conference on Control, Automation and Systems, Seoul, October 2008, pp. 1601-1605.

[7]   D. Niculescu and B. Nath, “Ad Hoc Positioning System (APS) Using AoA [A],” Proceedings of the IEEE INFOCOM [C], New York, 2003, pp. 1734-1743.

[8]   Z. Fang, Z. Zhao, P. Guo, et al., “Analysis of Distance Measurement Based on RSSI,” Chinese Journal of Sensors and Actuators, Vol. 20, No. 11, 2007, pp. 2526- 2530.

[9]   H. Zhao , J. Zhu, P. G. Sun, et al., “Equilateral Triangle Localization Algorithm Based on Average RSSI,” Journal of Northeastern University (Natural Science), Vol. 28, No. 8, 2007, pp. 1094-1097.