Towards the Distributed Autonomy in Complex Environments

Autonomic communication principles play a central role in managing complexity of the distributed electronic systems. This paper proposes a nature-inspired distributed active information model to enable the local decision-making process, and further, a global optimal solution will be obtained. Details of the distributed information model (IM) model are described in this paper. The experimental test validates the IM model, and implemented in the discrete event simulator - J-SIM. Performance comparisons show the distributed IM model outperforms the conventional information model.