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Towards a clustering based data diffusion protocol in delay tolerant networks

Published: 10 December 2007 Publication History

Abstract

In Delay Tolerant Networks (DTN), diffusion protocols can benefit from the users' mobility in order to reach some distant nodes. However, existing protocols like flooding present a rather high overhead because of redundant transmissions. The main contribution of this paper is to introduce a new diffusion protocol, called CBD (Clustering Based data Diffusion). Our solution provides to each node the possibility to adapt its diffusion strategy on-the-fly for a more efficient diffusion by evaluating its local density. We show through the use of a real measurements mobility that CBD brings an improvement in forwarding performances, in terms of delivery ratio, delay and the amount of generated messages.

References

[1]
A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, R. Gass, and J. Scott. Impact of human mobility on the performance of opportunistic forwarding algorithms. In INFOCOM, 2006.
[2]
M. Grossglauser and D. Tse. Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Transactions Networking, 10(4):477--486, 2002.
[3]
D. Watts and S. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393(6684), June 1998.

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cover image ACM Conferences
CoNEXT '07: Proceedings of the 2007 ACM CoNEXT conference
December 2007
448 pages
ISBN:9781595937704
DOI:10.1145/1364654
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 December 2007

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