Heterogeneous Sensor Networks (HSN)

Traditional sensor network research has focused largely on the low-bandwidth sensors, such as temperature, acoustic, infrared, etc. As a result, we have limited applications of sensor networks. In the HSN project, we consider a network of high-bandwidth, low-bandwidth, and mobile sensors. The high-bandwidth sensors include the image sensors for in-depth situation awareness and recognition. The main research objectives are to:

• Study the tradeoff between performance and cost
• Develop design principles for heterogeneous sensor networks
• Develop (near-)optimal multi-modal, multi-sensor fusion algorithms for heterogeneous sensor networks
• Develop a new communication theory and algorithms for heterogeneous sensor networks

Links:
HSN Project Homepage

Network Embedded Systems Technology (NEST)

In the NEST project, my main research focus is to develop a real-time control system using wireless sensor networks. The main challenge is the inconsistency in sensor measurements due to packet loss, communication delay, and false detections. These challenges are addressed by robust multiple layers of data fusion and a hierarchical architecture. The implemented system is successfully demonstrated using a large-scale outdoor sensor network.

Links:
NEST Final Experiment | Movie (11MB)
News: A Nest of Sensors, Berkeley Engineering Lab Notes, Vol 5(9), October 2005
NEST Project Homepage