MOVE-R · Improving the Realism of Mobility and Cooperation Models in Opportunistic Networks
FP7 — People (Marie Curie Actions)
- Duration
- 2011-09-01 → 2013-08-31
- EU contribution
- €239,978
- Participants
- 1
- Scheme
- MC-IEF
Lines connect the coordinator with its partners.
Results in brief
Improving the Realism of Mobility and Cooperation Models in Opportunistic Networks
Summary of the final publishable summary report: Opportunistic networking is a novel paradigm based on data storing, carrying, and forwarding by mobile nodes which exploit wireless ad-hoc communication opportunities when coming in range of one another. These networks are disruption tolerant and make use of node mobility to transfer data. In areas without connectivity or at the edge of the Internet, opportunistic networks are potential networking alternatives to traditional, infrastructure-based networks. Thus, opportunistic networks are applicable in situations such as search and rescue missions when infrastructure networks have been destroyed or in remote areas without sufficient connectivity, when infrastructures are overloaded and can benefit from offloading, and in disconnected regions in developing countries that should be connected. As opportunistic networks depend on human mobility and device cooperation, they rely on a good understanding of human mobility behavior, device characteristics, and finally on the application scenario determining the data traffic and quality of service requirements. The Marie Curie EU FP7 project MOVE-R, Improving the Realism of Mobility and Cooperation Models in Opportunistic Networks, conducted at the Communication Systems Group, ETH Zurich, focused on three lines of investigations: (i) characterizing human mobility based on real-world mobility traces originating from GPS data or cellular mobility data, (ii) deriving realistic device models by characterizing major properties such as energy consumption, and (iii) application-driven traffic characterization - in the use cases search and rescue mission and connecting so far disconnected populations. The results of MOVE-R are documented in 17 publications. The outcomes of MOVE-R are facilitated and extended in SWARMIX, an ongoing project at the Communication Systems Group, ETH Zurich, targeting aerial network provisioning in search and rescue missions to shorten the mission completion time, and ongoing research on connecting disconnected populations – a topic with high societal impact. Finally, we believe that in particular our results for road congestion detection based on cellular data can be leveraged by city planning and road management. Further information about MOVE-R can be found at: http://people.ee.ethz.ch/˜khummel/mover.html. A more extended version of the final publishable summary report is attached () as well as a figure ().
Data: CORDIS, © European Union
Project objective
The project MOVE-R - Improving the Realism of Mobility and Cooperation Models in Opportunistic Networks - will provide techniques for increasing the representativeness of models and algorithms used in opportunistic networking research. Opportunistic networking is a novel paradigm in future networks based on data storing, carrying, and forwarding by mobile nodes which exploit wireless ad-hoc communication opportunities when coming in range of one another. These networks are disruption tolerant and use node mobility to transfer data until the next communication contact with another node can take place. Current research in this area is still based on simplified assumptions about movement, co-presence, and cooperativeness of mobile nodes. The overall goal of MOVE-R is to enhance (i) mobility and co-presence models by including social network theory and mobility pattern recognition and (ii) by introducing cooperation algorithms considering device status and assuring fairness among the nodes by applying algorithmic game theory. Additionally, (iii) upcoming novel traffic types fitting to opportunistic networks will be identified, classified, and traffic reference patterns will be provided.The models and algorithms achieved in MOVE-R will have an impact on European and worldwide opportunistic networking research and development efforts which aim at connecting people in situations where a networking infrastructure is either not available, inefficient to use, or too costly, as given, for example in rural areas or by local, spontaneous data dissemination in car-to-car networks. By focusing explicitly on realism in modeling, the adoption of the developed technologies not only by academia, but also by the industrial sector is advocated. The project will clearly contribute to the European Commission's focus challenge on ""Pervasive and Trusted Network and Service Infrastructures"".""
Original text from CORDIS.
Participants
- EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichCoordinatorSwitzerland
Links
Data: CORDIS, © European Union