Abstract: Sensor networks consist of a set of physically distributed devices which can sense the environment, compute some useful properties, and communicate the results to other nodes and systems. The construction of smart sensor networks involves several distinct activities, including:

* model development: e.g., physical phenomena models, sensor models, communication models, computation models, energy utilization models, and high-level network models.

* distributed algorithm design: e.g., leadership, coordinate frames, gradient calculation, shortest path, signal processing, target tracking, etc.

* implementation issues: e.g., sensor node devices, programming environment, application scenarios, etc.

Our work in these areas will be discussed, including envisioned applications such as fire fighting, search and rescue, and the development of a smart sensor networks to monitor snow conditions and help determine avalanche probability in back country ski areas in the Wasatch mountains in Utah.

Short Bio: http://www.cs.utah.edu/~tch/