Abstract:
Recently, Underwater Wireless Sensor Network (UWSN) has engaged much
consideration and provided satisfactory technical support to many application fields.
Thus, Localization technology is a massive key technology of UWSNs. Due to the
complex underwater environment, the ground node location method cannot be applied
directly to UWSNs. It is needed to make efficient and accurate localization data to
generate information on underwater-based applications among acoustic channels.
According to the literature review, diverse localization techniques have been proposed
for UWSNs, and the range-based localization technique has taken priority for that.
The range-based method employs to perform the position computation after distance
estimation. These types of methods are involved two stages called distance
measurement and position calculation. Hence, the Time Different of Arrival (TDOA)
localization technique is the most suitable technique for underwater localization than
the Angle of Arrival (AOA), Received Signal Strength Indicator (RSSI), and Time of
Arrival (TOA). It has evaluated the Iterative (Taylor) and Closed-form method (Chan
method/TSWLS) for the Time Difference of Arrival, and the CRLB has been used to
take the best result of the unbiased estimator. The calculation time of the Two-Stage
Weight Least Squares (Chan algorithm) is shorter than the Taylor algorithm. On the
other hand, the accuracy of the Taylor algorithm is higher than the Chan algorithm.
However, the complexity (iterative time) of the Taylor algorithm is too long than the
Chan algorithm. Thus, few types of research have improved the Taylor algorithm,
while many kinds of research are improving the Chan algorithm. This study realizes
and simulates the performance of the Taylor algorithm and the Chan algorithm while
considering the Improved Two-Stage Weight Least Squares (ITSWLS) method using
Virtual Instrumentation (VI).
