After a numerous experiments and demonstrations, the following issues have been identified as major factors limiting the scaling, robustness and the level of usability.

1. Sensor bandwidth
2. An inadequate theory of distributed signal processing
3. Lack of robustness
4. Performance metrics
5. Lack of mobility of the sensor networks

1. A new theory of distributed signal processing with random spatio-temporal sampling of complex scenes for recognition and tracking of objects.
2. Robust design principles for sensor networks with both low and high bandwidth sensors, organized to be able to automatically recognize and track targets in complex urban environments.
3. Metrics for the design and deployment of sensor networks. We will derive theoretical bounds on the performance of different kinds of sensor webs (based on the density of their deployment, their manner of deployment and the choice of sensing, networking and signal processing algorithms).
4. Incorporate mobility into sensor networks. We will develop algorithms which take into account mobility of nodes and the need to query sensor nodes using mobile assets such as UAVs.

Links

• Integrated Fusion, Performance Prediction, and Sensor Management for Automatic Target Exploitation