Data dissemination in mobile peer-to-peer networks

  • Authors:
  • Thomas Repantis;Vana Kalogeraki

  • Affiliations:
  • University of California, Riverside, Riverside, CA;University of California, Riverside, Riverside, CA

  • Venue:
  • Proceedings of the 6th international conference on Mobile data management
  • Year:
  • 2005

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Abstract

In this paper we propose adaptive content-driven routing and data dissemination algorithms for intelligently routing search queries in a peer-to-peer network that supports mobile users. In our mechanism nodes build content synopses of their data and adaptively disseminate them to the most appropriate nodes. Based on the content synopses, a routing mechanism is being built to forward the queries to those nodes that have a high probability of providing the desired results. Our simulation results show that our approach is highly scalable and significantly improves resources usage by saving both bandwidth and processing power.