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TACO-DTN: a time-aware content-based dissemination system for delay tolerant networks
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International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 1st international MobiSys workshop on Mobile opportunistic networking table of contents
San Juan, Puerto Rico
SESSION: Opportunistic dissemination and routing schemes table of contents
Pages: 83 - 90  
Year of Publication: 2007
ISBN:978-1-59593-688-2
Authors
Giuseppe Sollazzo  University College London, London, UK
Mirco Musolesi  University College London, London, UK
Cecilia Mascolo  University College London, London, UK
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Content dissemination applications are becoming more and more popular on fixed infrastructure: in this paper we introduce TACO-DTN, a content dissemination system which, by virtue of being time-aware in terms of subscriptions and events, is appropriate for delay tolerant networks, where a number of nodes act as infostations, enjoying some form of connectivity to the backbone, and other nodes are mobile devices, reachable sometimes only through intermittent connectivity of carriers. Examples of applications benefiting from such a system could be travel information dissemination systems in large cities (exploiting infostations at bus stops) or on highways, advertisements dissemination at specific times, and information dissemination to remote villages. The approach is based on a novel concept of temporal utility of subscriptions and events. The temporal utility is used to govern the routing of the events to the right infostation (i.e., the one reached by the interested subscribers at the right time), avoiding unnecessary information transfer on slow links and the buffer management, in case buffer limitations are an issue. We give a description of our protocol and discuss its validation through simulation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Giuseppe Sollazzo: colleagues
Mirco Musolesi: colleagues
Cecilia Mascolo: colleagues