Overcoming economic challenges of internet operators in low income regions through a delay tolerant architecture with mechanic backhauls

  • Luis Marentes
  • Tilman Wolf
  • Anna Nagurney
  • Yezid Donoso
  • Harold Castro


Regions with low population densities and low income, which may be rural, are far behind in Internet access as compared to their urban counterparts. Economically unsustainable deployments have been suggested as one of the factors with a high negative impact. Researchers using the Delay Tolerant Network Architecture (DTN) have established a less expensive alternative, but they do not provide guidelines as to how to price the new possible services nor any indication as to operators’ profitability. Resolutions of these two issues are the contributions of this paper. Based on a continuous pricing model, we explore how far the use of this technology may help in attaining profitable deployments with real and delay tolerant services. Our findings indicate that it is possible to support the investment in most of the scenarios built over data of a Sub-Saharan deployment, and for those not supported 79 % of the investment is predicted to be covered by gross profits. We hypothesize that the remaining value is affordable if service differentiation is enabled by means of a complementary architecture. Three components to test the hypothesis are introduced: (1) the pricing elements to form service level agreements, (2) a general overview of the architecture requirements, and (3) a novel pricing model. In this regard, our results show a positive effect of service differentiation which improves profits by 32 %.


Economic models Internet universal access Delay tolerant architecture Continuous time pricing models Service differentiation Rural networks 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Luis Marentes
    • 1
  • Tilman Wolf
    • 2
  • Anna Nagurney
    • 3
  • Yezid Donoso
    • 1
  • Harold Castro
    • 1
  1. 1.Department of Systems and Computing EngineeringUniversidad de los AndesBogotaColombia
  2. 2.Department of Electrical and Computer EngineeringUniversity of MassachusettsAmherstUSA
  3. 3.Operations and Information ManagementUniversity of MassachusettsAmherstUSA

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