Recently the number of mobile users accessing wireless and mobile Internet services has been increasing spectacularly. The overall mobile data traffic is expected to grow more than 10 fold between 2013 and 2018 . The spreading of high-performance smartphones and the rapid growth of embedded or mobile devices connecting to the Internet (Internet of Things – IoT) create serious challenges for the traditional mobile Internet architectures. The generic concept of Future Mobile Internet  has been recognized as a key solution for the aforementioned problems. The proliferation of heterogeneous and overlapping wireless access networks together with the evolution of distributed and scalable network architectures make possible to provide the next generation of ubiquitous and pervasive services. Due to the fast evolution of network and device capabilities, electronic healthcare (eHealth) services recently started to receive more and more attention within the above context, especially in the mobile Health (mHealth) use-cases. mHealth is a sub-segment of the eHealth field, aiming to use mobile devices, wearable or built-in sensors and wireless communication technologies to enhance traditional medical services. Mobile network technologies play an increasingly important role in mHealth systems especially in scenarios of tele-consultation/telediagnosis and mobile patient monitoring. Naturally, mHealth services require strict, medical level Quality of Services (QoS) and Quality of Experience (QoE) provision. The real-time use-cases of mHealth services such as remote mobile patient monitoring and telecare, remotely guided surgical intervention etc. require even higher guarantees (e.g., small delay and jitter, fast response time, low packet loss etc.). A lot of mHealth scenarios rely on wearable body vital (e.g., ECG, heart rate monitor, ultrasound) or smartphone built-in sensors (e.g., high-resolution camera, gyroscope). The highly varying characteristics of different mHealth applications (particularly different real-time solutions) in means of the required network resources, QoS and QoE requirements invoke elaboration of advanced service provisioning frameworks highly integrated with the forthcoming distributed and scalable mobile architectures, which are able to dynamically and adaptively exploit all the available resources of the overall network environment.
In this thesis I present the design, implementation and evaluation details of an advanced, cross-layer optimized mHealth application framework accommodated to future mobile Internet architectures. The proposed framework is smartphone-driven, and comprises three main functional blocks. There is a flow-aware mobility management and decision scheme, which makes decisions about the optimal combination of different mHealth application flows and available network interfaces based on the QoS/QoE requirements of the sensor information flows and the current state of the available wireless networks. This decision engine relies on a distributed data collection and reporting system (Distributed Decision Engine –DDE) : this second block manages all the context information of mHealth services provided by different layers (e.g., network and application layer or user preferences), measured by the end user terminals or by the network. The third functional block is the multi-sensor manager application, which handles sensor connections, and collects/aggregates real-life sensor information. All of these main elements are integrated in a cross-layer optimized manner, such creating a highly adaptive mHealth application framework for Android-based multi-access smartphones future mobile Internet scenarios. The validation of the proposed integrated mHealth solution was performed on a real-life testbed environment.
 C. V. N. Index, Global Mobile Data Traffic Forecast Update, 2013–2018. 2014.
 L. Bokor, Z. Faigl, and S. Imre, “Flat Architectures: Towards Scalable Future Internet Mobility,” in The Future Internet, vol. 6656, J. Domingue, A. Galis, A. Gavras, T. Zahariadis, D. Lambert, F. Cleary, P. Daras, S. Krco, H. Müller, M.-S. Li, H. Schaffers, V. Lotz, F. Alvarez, B. Stiller, S. Karnouskos, S. Avessta, and M. Nilsson, Eds. Springer Berlin Heidelberg, 2011, pp. 35–50.
 J. Mäkelä, M. Luoto, T. Sutinen, and K. Pentikousis, “Distributed Information Service Architecture for Overlapping Multiaccess Networks,” Multimed. Tools Appl, vol. 55, no. 2, pp. 289–306, Nov. 2011.