Detection, identification, and tracking of CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosive) plumes can be accomplished by combining the modalities of sensor and cyber networks. The sensor network provides information about physical-space activities, e.g., locations and movements of the plume sources. The cyber network provides storage and computational resources to analyze and infer where the plume originated, the trajectory of its movement, and the prediction of its future movement. The challenges in realizing such a sensor cyber network include intelligent sensing (intelligent sensor selection and coverage) and the capability to deal with uncertainties (uncertainty in measurement as well as in modeling). This project is leveraging the convergence between the sensor and the cyber networks to achieve these goals. In particular, we are carrying out three synergistic research tasks:

1. network formation by sensor selection, placement, and coverage;
2. sensor tasking protocol with temporal/spatial uncertainty management;
3. protocols for reliable sensor-cyber communication supporting the above two tasks.

We are prototyping our research results and integrating the prototypes of each component to build a sensor cyber network for plume detection, identification and tracking. W are evaluating the sensor cyber network using various test scenarios in collaboration with Oak Ridge National Lab. If successful, the project will provide technology for building detection and tracking sensor networks that can give great protection to people and the environment against harmful plumes.