Abstract

MAS have already more than proved their effectiveness while dealing with high level distributed problems, but some domains (usually low level ones) are still reluctant to their use, usually on a performance basis. UAV's multisensor integration systems take information coming from different sensors and integrate them into one global positioning solution, with a pre-analyzed fixed data fusion architecture topology in a changing environment. In this paper we will propose a novel adaptative MAS data fusion architecture for this problem, able to change its topology according to its conditions, and thus effectively improving the overall quality of the system.