Automatic Learning-based MANET Cross-Layer Parameter Configuration

K.Z. Haigh, S. Varadarajan, Choon Yik Tang
2006 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)  
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.
doi:10.1109/icdcsw.2006.22 dblp:conf/icdcsw/HaighVT06 fatcat:ohx6buxwenaczi4ffs6cawujki