A social node model for realising information dissemination strategies in delay tolerant networks

  • Authors:
  • Saeed Bastani;Bjorn Landfeldt;Christian Rohner;Per Gunningberg

  • Affiliations:
  • University of Sydney, Sydney, Australia;Lund University, Lund, Sweden;Uppsala University, Uppsala, Sweden;Uppsala University, Uppsala, Sweden

  • Venue:
  • Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
  • Year:
  • 2012

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Abstract

In the emerging Delay Tolerant Networks (DTNs) content dissemination platform, mobile nodes opportunistically exchange content as they meet, with the intent of sharing content among nodes with common interests. During a meeting, nodes can exchange both content of direct interest to themselves as well as content that is of interest to a larger set of nodes that may be encountered in the future. The utility of a DTN is governed by the content exchange opportunity (the amount of content that can be exchanged during a meeting) as well as the selection of content to be exchanged in order to maximise the interest nodes will have in information they are exposed to. Considering that there is a cost associated with the content exchange (e.g. battery usage, buffer occupancy or consumed transmission opportunity) the aim for nodes participating in content dissemination should be to maximise their payoff. In this paper, we contribute a generic framework for describing the characteristics of content exchange among participating nodes in a network. We incorporate a distributed information popularity measurement and the pairwise interaction of nodes modelled as a bargaining problem. The outcome of this process is the fair split up of transmission opportunity as a network resource and the selection of content objects to exchange in order to maximise the nodes' payoff. The framework is generally intended as a capstone for investigation of content dissemination properties and various content exchange strategies in a DTN. The paper further presents experiments conducted to validate the function and correctness of the proposed framework.