A Decision-Theoretical Approach to
Resource-Constrained Cyberinfrastructure

The variety of services envisioned in the future cyberinfrastructure will result in rich traffic dynamics: traffic load changing over time and space in wide range, traffic pattern assuming various heterogeneous and directional forms, and services requiring different QoS assurance.

In this project, we develop resource-efficient traffic-adaptive MAC and routing protocols that are reconfigurable based on the network operating conditions. Using a decision-theoretic framework that combines networking with signal processing for traffic estimation and change detection, we develop MAC and routing techniques that adapt to traffic dynamics in order to provide rapid response to emergency in certain areas while the rest of the network remains at a quiescent bandwidth and energy-saving mode.