1. Chess Review November 21, 2005 Berkeley, CA Edited and presented by Identity Management in Sensor Networks Hamsa Balakrishnan Stanford University

2. Chess Review, Nov. 21, 2005"Identity Management in Sensor Networks", H. Balakrishnan2 Identity Management Keeping track of “who is who” in a sensor network Belief matrix answers queries such as: What is the probability of target t having identity j ? target t identity j doubly stochastic (rows and columns sum to 1)

3. Chess Review, Nov. 21, 2005"Identity Management in Sensor Networks", H. Balakrishnan3 Mixing events Two (or more) objects move close to each other, identities become uncertain Target 2 Target 1

4. Chess Review, Nov. 21, 2005"Identity Management in Sensor Networks", H. Balakrishnan4 Local evidence event Generic tracking sensor Special sensor (local information) 1 2 3 1 2 3 BRGBRG (target) ID t1t1 t2t2 Sensor says: target 3 is Green

5. Chess Review, Nov. 21, 2005"Identity Management in Sensor Networks", H. Balakrishnan5 Tracking aerobatic maneuvers

6. Chess Review, Nov. 21, 2005"Identity Management in Sensor Networks", H. Balakrishnan6 Conclusions Analysis of various approaches to identity management Framework for multiple-target tracking and identity management Potential advisory tool for air traffic controllers, for dissemination of aircraft situation data