Application of knowledge-based network management techniques for packet radio networks

The authors developed a preliminary version of a knowledge-based model for network management and reconfiguration using blackboard techniques and have applied to it packet radio networks. The analysis is concerned with developing procedures for evaluation of candidate recovery/reconfiguration methodologies and techniques for fault isolation and related monitoring functions. As an initial step, the generic blackboard was chosen as the artificial intelligence environment to develop the management tools and interlink it to a packet radio network simulator that was used as a testbed network to be controlled and monitored. The details of the interaction of the management environment and the packet radio simulator as implemented in the model so far, and present numerical results obtained through the execution of some preliminary rules are described