Exploiting traffic sampling techniques for mobile peer networking

  • Authors:
  • Julian K. Buhagiar;Carl J. Debono

  • Affiliations:
  • University of Malta, Msida, Malta;University of Malta, Msida, Malta

  • Venue:
  • Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
  • Year:
  • 2009

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Abstract

Solutions that provide practical mobile peer networking have to date been ineffective for a number of reasons; these include challenges to address ubiquitous radio access networks, cost per bandwidth, as well as the spatial-temporal availability of each peer node within the mobile network. A new peer networking algorithm involving peer nodal hierarchies, traffic mapping and neural networks is proposed. Results show that the technique presents a remarkable network performance improvement over standard peer-to-peer networks. Comparisons with alternative peer topologies also show that the proposed solution exhibits higher performance in peer applications, suggesting better usage of the limitations present in mobile networks.