MOVE-R

Improving the Realism of Mobility and Cooperation Models in Opportunistic Networks

Coordinatore	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH    more  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Bernhard Cognome: Plattner Email: send email Telefono: 41446327000 Fax: 41446321035
Nazionalità Coordinatore	Switzerland [CH]
Totale costo	239˙977 €
EC contributo	239˙977 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-IEF
Funding Scheme	MC-IEF
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-09-01   -   2013-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Bernhard Cognome: Plattner Email: send email Telefono: 41446327000 Fax: 41446321035	CH (ZUERICH)	coordinator	239˙977.80

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 Obiettivo del progetto (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'.'

Introduzione (Teaser)

Important improvements in wireless communication could emerge from a better understanding of opportunistic networking. One ambitious initiative in this direction has already yielded valuable results.