Location fingerprinting is a positioning method that exploits the already existing infrastructures such as cellular networks or WLANs. Regarding the recent demand for energy efficient networks and the emergence of issues like green networking, we propose a clustering technique to compress the radio database in the context of cellular fingerprinting systems. The aim of the proposed technique is to reduce the computation cost and transmission load in the mobile-based implementations. The presented method may be called Block-based Weighted Clustering (BWC) technique, which is applied in a concatenated location-radio signal space, and attributes different weight factors to the location and radio components. Computer simulations and real experiments have been conducted to evaluate the performance of our proposed technique in the context of a GSM network. The obtained results confirm the efficiency of the BWC technique, and show that it improves the performance of standard k-means and hierarchical clustering methods.

During the past two decades, the evolution in the field of telecommunication has been driven by two interrelated trends: NGN (heterogeneity and mobility) and user centric (user preferences, location and activity). Service continuity management is highlighted as the key requirement regarding all these inputs. In SOA and EDA based architecture, we propose an E2E dynamic session binding as a temporal E2E connectivity binding of each level’s elements (users, terminals, access networks, core networks and service components). It permits, from the user centric vision, the dynamic association of these elements according to their mobility. With this intention, we propose several management entities: community self management, information inference (Infoware) and NGN Sessioware which depend on Seamless Userware and Serviceware. We detail our propositions with a complete scenario integrating the two trends.