Clustering is an unsupervised learning method widely used in many fields, such as machine learning, pattern recognition, data mining and image analysis. The goal of this study is to investigate swap-based clustering and its application to location-based services. Swap-based clustering is a local search heuristic trying to find the optimal centroid locations by performing a sequence of centroid ...

With the rapid growth of location-based services (LBS) in recent years, location privacy has also received increasing attention as very little (location) information about a person can facilitate deep inferences on sensitive information. Despite this, many people freely share and seem unaware potential consequences. LBS provide few control options regarding how is shared. This limits users’ sov...

The definition of an adequate charging scheme for reservation-based multi-service networks and internetworks is one of the key factors destined to influence the wide use and deployment of these networks in the next decades. This paper presents some of the authors' ideas on this subject and is intended to be a framework on which future works in this area can be based. It comprises an approach to...

The quality and availability of positional information (location, orientation) is a key resource that strongly influences the way in which ambient services can be provided to nomadic users. In this article, we propose a number of mechanisms that tackle resource restrictions related to positional information on two levels, the application level and the positioning level. We introduce a generic m...