BS-10-34 A Probabilistic Location-based Routing Scheme for Delay-Tolerant Networks

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Many real-world DTN applications involve nodes that do not inherently have a purely random mobility pattern. Observably, nodes in these scenarios repeatedly traverse specific locations based on routine characteristics. In this paper we propose a DTN routing scheme which utilizes historical location visitations of nodes to predict future probability of progression towards an identifiable destination. In this scheme, a source considers next- hop forwarding based on a benefit-metric. Our formulation of the benefit-metric takes into account a nodes frequented trajectories, its current Euclidian distance from the destination and the possibility of any of it trajectories bridging the gap to the destination. Naturally, the source selects the node providing the maximum 'benefit'. With this scheme flooding is preventable and only one copy of a bundle circulates in the network at any time. Using prior movement patterns to reduce uncertainty and progressively forward to a location proximal to the destination in a controlled manner improves the delivery ratio and optimizes resource utilization. We analyze the performance of our protocol with intuitive methods.

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詳細情報 詳細情報について

  • CRID
    1572261552461075840
  • NII論文ID
    110007870429
  • NII書誌ID
    AN10489017
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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