Title :
RSS-Based Source Localization When Path-Loss Model Parameters are Unknown
Author :
Yaming Xu ; Jianguo Zhou ; Peng Zhang
Author_Institution :
Sch. of Geodesy & Geomatics, Wuhan Univ., Wuhan, China
Abstract :
In this letter we present a novel method for source node localization using received signal strength in situations where path-loss model parameters are unknown. First, a ratio approach is used to eliminate the transmitting power uncertainty, then, combined with a search method for path-loss exponent under certain constraints, linear least squares is utilized to determine the location of the source node. Simulations are used to demonstrate the feasibility and suitability of the proposed method. The simulation results indicate that the method presented outperforms other off-the-shelf source node localization algorithms intended for use when path-loss model parameters are unknown.
Keywords :
field strength measurement; least squares approximations; telecommunication links; RSS-based source localization; linear least squares; path-loss exponent; path-loss model parameters; ratio approach; received signal strength; source node localization; transmitting power; Accuracy; Equations; Mathematical model; Receivers; Signal processing; Uncertainty; Wireless sensor networks; Source localization; path-loss model; received signal strength;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2318031