CMU FRC talk: Geographic Routing in Autonomous Sensor Systems without Location Information

Speaker: Bin Yu, Postdoctoral Fellow, Robotics Institute, Carnegie Mellon University
Date: Thursday, February 2, 2006

Autonomous sensor systems of the near future are envisioned to consist of hundreds of robots and UAVs (unmanned aerial vehicles). These networked autonomous sensors play strong roles in civilian and military operations, such as disaster rescue and battlefield surveillance. One of the important problems in autonomous sensor systems is data fusion, as the raw data from each sensor cannot be used directly for team coordination and needs to be fused with other relevant data in the system. In this talk I will discuss several routing algorithms for distributed data fusion in an autonomous sensor system with group mobility, including a geographic routing algorithm without the use of location information. Moreover, I will provide a detailed analysis of the effectiveness of the routing algorithms for data fusion. The simulation results show that controlled data flows significantly increase the probability of relevant data being fused.

Speaker Bio:
Dr. Bin Yu is a Postdoctoral Fellow in the School of Computer Science at CMU. He received his Ph.D. in Computer Science from North Carolina State University in 2002. His research interests lie in the areas of artificial intelligence and distributed sensor systems, with an emphasis on multiagent and multirobot systems. Dr. Yu has authored more than 20 technical papers in artificial intelligence, peer-to-peer systems, and distributed sensor systems. One of his papers appeared at the Fourth International Conference on Agents and Multiagent Systems (AAMAS-05) and was nominated for the best paper award.