This thesis presents and discusses research associated with locating wireless
devices. Several algorithms have been developed to determine the physical location of
the wireless device and a subset of these algorithms only rely on received signal strength
(RSS). Two of the most promising RSS-based algorithms are the LC and dwMDS
algorithms; however each algorithm has only been tested via computer simulations with
different environmental parameters. To determine which algorithm performs better (i.e.,
produces estimates that are closer to the true location of the wireless device), a fair
comparison needs to be made using the same set of data.
The goal of this research is to compare the performance of these two algorithms
using not only the same set of data, but data that is collected from the field. An
extensive measurement campaign at different environments provided a vast amount of
data as input to these algorithms. Both of these algorithms are evaluated in a onedimensional
(straight line) and two-dimensional (grid) setting. In total, six environments
were used to test these algorithms; three environments for each setting. The results show that on average, the LC algorithm outperforms dwMDS in most
of the environments. Since the same data was inputted for each algorithm, a fair
comparison can be made and doesn’t give any unfair advantage to any particular
algorithm. In addition, since the data was taken directly from the field as opposed to
computer simulations, this provides a better degree of confidence for a successful realworld
implementation.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2395 |
| Date | 2008 December 1900 |
| Creators | Gutierrez, Felix |
| Contributors | Miller, Scott |
| Source Sets | Texas A and M University |
| Language | English |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | electronic, application/pdf, born digital |
Page generated in 0.0019 seconds