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26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)
Automatic Learning-based MANET Cross-Layer Parameter Configuration
Lisboa, Portugal
July 04-July 07
ISBN: 0-7695-2541-5
Karen Zita Haigh, BBN Technologies, MA
Srivatsan Varadarajan, Honeywell Labs, Minneapolis, MN
Choon Yik Tang, Honeywell Labs, Minneapolis, MN
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.
Index Terms:
Auto-Configuration, Cross-layer Parameter Adaptation, Learning, Mobile, Wireless
Citation:
Karen Zita Haigh, Srivatsan Varadarajan, Choon Yik Tang, "Automatic Learning-based MANET Cross-Layer Parameter Configuration," icdcsw, pp.84, 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006
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