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Conference Papers Year : 2006

AdTorrent: Delivering Location Cognizant Advertisements to Car Networks

Alok Nandan
  • Function : Author
  • PersonId : 831941
Saurabh Tewari
  • Function : Author
  • PersonId : 831942
Shirshanka Das
  • Function : Author
  • PersonId : 831943
Mario Gerla
  • Function : Author
  • PersonId : 831944
Leonard Kleinrock
  • Function : Author
  • PersonId : 831945

Abstract

AdTorrent is an integrated system for search, ranking and content delivery in car networks. AdTorrent builds on the notion of Digital Billboards, a scalable “push” model architecture for ad content delivery. We present a detailed analysis of the performance impact of key design parameters such as scope of the query flooding on the query hit ratio. Our mobility model for the urban, vehicular scenario can be used in conjunction with the analytical model for estimating query hit ratio by a system designer to determine the scope of the query flooding as a function of the available storage per vehicle for their application.
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Dates and versions

inria-00001025 , version 1 (30-01-2006)

Identifiers

  • HAL Id : inria-00001025 , version 1

Cite

Alok Nandan, Saurabh Tewari, Shirshanka Das, Mario Gerla, Leonard Kleinrock. AdTorrent: Delivering Location Cognizant Advertisements to Car Networks. WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services, INRIA, INSA Lyon, IFIP, Alcatel, Jan 2006, Les Ménuires (France), pp.203-212. ⟨inria-00001025⟩

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WONS2006
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