  IP Geolocation is a key enabler for many areas of application like
determination of an attack origin, targeted advertisement, and Content Delivery
Networks. Although IP Geolocation is an ongoing field of research for over one
decade, it is still a challenging task, whereas good results are only achieved
by the use of active latency measurements. Nevertheless, an increased accuracy
is needed to improve service quality. This paper presents an novel approach to
find optimized Landmark positions which are used for active probing. Since a
reasonable Landmark selection is important for a highly accurate localization
service, the goal is to find Landmarks close to the target with respect to the
infrastructure and hop count. Furthermore, we introduce a new approach of an
adaptable and more accurate mathematical modelling of an improved geographical
location estimation process. Current techniques provide less information about
solving the Landmark problem as well as are using imprecise models. We
demonstrate the usability of our approach in a real-world environment and
analyse Geolocation for the first time in Europe. The combination of an
optimized Landmark selection and advanced modulation results in an improved
accuracy of IP Geolocation.
