The main research objective of the FIRST project is to address the challenges posed by the Future Internet. The scope of research includes basic theoretical research, performance modelling of networks, scalable and flexible network architectures, content management, and issues related to Internet of Things. The project is being carried out by a large consortium led by the University of Debrecen, consisting of leading Hungarian universities in Budapest and Szeged, research institutes of the Hungarian Academy of Sciences and the National Infrastructure Development Institute. Our laboratory is involved in Sub-project 3, New Network Architectures and Protocols, and in Sub-project 6, Future Internet Smart City Applications.
Summary of the project can be downloaded here: FIRCC
T3B2, Self-organized , Vilmos Simon
Our goal was to focus on networking solutions and protocols, which can provide the autonomous operation of self-organized networks, using bio-inspired techniques. We have developed a new communication protocol, the Direction Based Handshake Gossiping (DiBHG), which was implemented in our self-organiz- ing network simulator, together with three other location based data dissemination protocols from the literature. The results showed that our solution overperforms the other three solu- tions. To be able to carry out more complex examinations by using a realistic and detailed model of wireless communication, we have demonstrated a new research platform, integrating the MIT Proto spatial computing suite with the OMNeT++ network simulator framework. To demonstrate the enhanced capabilities gained from integrating these two systems together, we have implemented an urban target-tracking scenario. We have also implemented our DiBHG protocol in the Proto spatial computing system. From the simulation results it can be observed, that the implementation of the DiBHG protocol was successful, we can achieve a more energy efficient functioning of the system when trying to disseminate static information in the network. Implementing the DiBHG protocol in Proto and making it available in an easy to use Proto plugin takes it one step further, to enable Proto become a real life spatial computing system and move it away from “simulator only” use. We are planning to put this (or these) protocol(s) to an emergency simulator. As in this case the hazard is coming from a well-defined location, so it will be important to keep the communication in the right direction: from the sensor node which have identified the source of the fire, to the other nodes directing them the exits. This way our solution can be tested in a real life application, measuring the performance of our algorithm in a use case scenario, which can save lives in our everyday urban environment.
T3B4, Distributed, dynamic and proactive mobility management in IPv6 networks, László Bokor, Csaba Szabó
Existing wireless and mobile telecommunication infrastructures are not prepared to handle the traffic increase prognosticated by the emerging application areas of mHealth, M2M, C-ITS, etc., and the novel mobility scenarios in heterogeneous radio environ- ments of the near future. As a consequence, architectural chang- es are required for dealing with the ongoing traffic evolution and the more frequent IP level handover events. In our researches we analysed issues of scalability and advanced mobility use-cases, and proposed a special, Host Identity Protocol based, distributed, dynamic and proactive mobility management architecture called UFA-HIP. The proposed scheme was extensively analysed in a complex, INET/OMNeT++ based simulation environment.
T3D1, New network architectures and methods for 3D media delivery, Árpád Huszák
Free Viewpoint Video is special category of 3D video, allowing users to freely change their viewpoint. In our research works we focused on 3D Free Viewpoint Video transmission in IP networks, viewpoint synthesis and distributed viewpoint generation architectural model and caching solutions. We proposed an energy efficient caching scheme that keeps balance between the consumed energy and the cache delay. We analysed the optimal cache size and the caused delay using the on-off based energy efficient method. A software tool was also implemented to find the optimal topology for the distributed viewpoint generation topology. The developed software is capable to find the best topology setup and serve the clients requesting the lowest occupied bandwidth in the network. Our third task was to propose a multicast scheme in order to decrease the required time of new viewpoint stream pay-out in FVV streaming service. As a first step we analysed the multicast group changing delays in the implemented NS2 simulation environment. Finally a viewpoint predictive based multicast FVV streaming scheme was developed that is able to prevent the FVV viewpoint synthesizer algorithm from starva- tion. The obtained results show, that requested camera views for the viewpoint generation arrives in time to the client and no interruption occurs during the pay-out in 95% of the cases.
T8F2, Smart city applications, Károly Farkas
The aim of this theme is the design and development of smart city applications. We designed a community based public transport information sharing service for mobile us- ers. Later we extended this service with a client side visual- ization application. We documented our studies in the field of measurement, storage and analysis of public transport related data. With regard to the intelligent civil avatar topic we extended the intelligent soccer fan concept. We imple- mented and tested the Quantum Consciousness Soccer Simulator (QCSS) mobile client over the XMPP protocol. XML schemes were developed for this avatar system. We began to work on the YANonymous application that investigates the possibility of reproducing social networks from anon- ymous user connections. We created a document about indoor positioning. We developed a community based course schedule application for smart campus that uses the connections in the widely deployed NEPTUN system. We used the Facebook and Twitter systems to harvest information and created a prototype that uses Twitter posts to detect real-time events.