Automatic Learning-based MANET Cross-Layer Parameter Configuration

  • Authors:
  • Karen Zita Haigh;Srivatsan Varadarajan;Choon Yik Tang

  • Affiliations:
  • BBN Technologies, MA;Honeywell Labs, Minneapolis, MN;Honeywell Labs, Minneapolis, MN

  • Venue:
  • ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
  • Year:
  • 2006

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Abstract

Mobile ad hoc networks (MANETs) operate in highly dynamic environments with limited resources. Current approaches to network configuration are static and ad-hoc, and therefore frequently perform extremely poorly. We describe our approach to network configuration control that relies on automatically learning the relationships among configuration parameters and maintains near-optimal configurations adaptively, even during highly dynamic missions. We present a case study demonstrating the feasibility of the approach.