  IP Geolocation is a key enabler for the Future Internet to provide
geographical location information for application services. For example, this
data is used by Content Delivery Networks to assign users to mirror servers,
which are close by, hence providing enhanced traffic management. It is still a
challenging task to obtain precise and stable location information, whereas
proper results are only achieved by the use of active latency measurements.
This paper presents an advanced approach for an accurate and self-optimizing
model for location determination, including identification of optimized
Landmark positions, which are used for probing. Moreover, the selection of
correlated data and the estimated target location requires a sophisticated
strategy to identify the correct position. We present an improved approximation
of network distances of usually unknown TIER infrastructures using the road
network. Our concept is evaluated under real-world conditions focusing Europe.
