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 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.
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