2nd International IEEE/Create-Net Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities

Research Article

Architecture and implementation of an agent-based simulation tool for market-based pricing in next-generation wireless networks

  • @INPROCEEDINGS{10.1109/TRIDNT.2006.1649159 ,
        author={Matthias  Roggendorf and Fernando  Beltran and Jairo  Gutierrez},
        title={Architecture and implementation of an agent-based simulation tool for market-based pricing in next-generation wireless networks},
        proceedings={2nd International IEEE/Create-Net Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities},
        publisher={IEEE},
        proceedings_a={TRIDENTCOM},
        year={2006},
        month={7},
        keywords={},
        doi={10.1109/TRIDNT.2006.1649159 }
    }
    
  • Matthias Roggendorf
    Fernando Beltran
    Jairo Gutierrez
    Year: 2006
    Architecture and implementation of an agent-based simulation tool for market-based pricing in next-generation wireless networks
    TRIDENTCOM
    IEEE
    DOI: 10.1109/TRIDNT.2006.1649159
Matthias Roggendorf1,*, Fernando Beltran1,*, Jairo Gutierrez2,*
  • 1: University of Auckland Business School, 7 Symonds Street, Auckland, New Zealand
  • 2: Currently visiting the Universitat Polit`ecnica de Cataluyna, Barcelona
*Contact email: m.roggendorf@auckland.ac.nz, f.beltran@auckland.ac.nz, j.gutierrez@auckland.ac.nz

Abstract

We present a generic, agent-based simulation environment for dynamic pricing in next-generation wireless networks. While a lot of effort has been put into simulation platforms for recreating the behaviour of IP-based traffic in fixed and wireless networks, no standard platform for simulating different pricing schemes in such networks has yet emerged. Our work is driven by the vision of a ubiquitous wireless network environment, in which users can dynamically request network resources for various uses from different, potentially competing network providers. For such a scenario, new pricing approaches are needed to charge the user according to dynamic factors such as current congestion levels or the the number of customers present at a specific location. The developed simulation environment serves as a generic tool for implementing and testing different pricing approaches.