Abstract:
Access Point deployment has been a course of major study over the years and numerous
researchers have worked upon it. This thesis work focuses on an intelligent deployment
of Wireless Access Points (WAP) in an Indoor Wi-Fi Localisation System. Novel in its
regard, the work first uses Geometric Dilution of Precision and the Genetic Algorithm
to deploy Access Points, followed by a selection of Access Points with the help of
RSSI and user-to-AP Position vectors. A series of MATLAB simulations showed that
the user-to-AP position vector approach showed an improvement in localisation in the
deployment area under study. Further work includes a performance analysis in which
simulation parameters are altered to check their effect on system accuracy. Overall,
a position vector based selection of Access Points by the users have shown the best
results in the CDF plots with better accuracy
