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
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