TACO-DTN: A Time-aware Content-based Dissemination System for Delay-Tolerant Networks

Giuseppe Sollazzo, Mirco Musolesi, Cecilia Mascolo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 1st International MobiSys Workshop on Mobile Opportunistic Networking (MobiOpp'07)
Place of PublicationNEW YORK
PublisherACM
Pages83-90
Number of pages8
ISBN (Print)978-1-59593-688-2
DOIs
Publication statusPublished - 2007

Keywords

  • Delay tolerant networking
  • publish/subscribe systems
  • content-based routing
  • event dissemination
  • infostations
  • buffer management

Fingerprint

Dive into the research topics of 'TACO-DTN: A Time-aware Content-based Dissemination System for Delay-Tolerant Networks'. Together they form a unique fingerprint.

Cite this