|
|
|
|
|
ABSTRACT Recent advances in sensor and communication technology combined with better signal processing techniques have made sensor networks valuable in applications such as environment monitoring. These advancements also make wireless sensor networks suitable for long-term human health monitoring. A "body area network" is a wireless network of biomedical sensors attached to a human subject's body. The goal is to develop a system that will enable a person's health condition to be continuously monitored over a long distance communication network. As the sensing system is to be worn by a subject for long durations, the size and weight of each node needs to be compact and light. Limited advances in power technology have made energy the most critical resource in body area networks and extending system lifetime has become a priority to fully realize the long-term monitoring capabilities of body area networks. In this talk, I describe a body area network developed at the Saban Research Institute of the Childrens Hospital Los Angeles. We have embedded energy conservation algorithms at multiple levels of this system to ensure that the sensors can continue operating even during periods of wireless communication failure. These algorithms adapt the operating parameters of the sensors to the time-varying system resources and criticality of the measured data (adaptive sensing). I will also describe how these resource management techniques have been applied to a coastal environment monitoring system. SPEAKER BIO Anand Panangadan is a Research Specialist at the Saban Research Institute of the Childrens Hospital Los Angeles and a post-doctoral affiliate at NASA's Jet Propulsion Laboratory. His current research is in developing machine learning based information processing algorithms for wireless sensor networks. These algorithms are to be deployed in human health monitoring systems ("body area networks") and environmental sensor networks. He received the Ph.D. degree in Computer Science from the University of California, Los Angeles in 2002 and the B.Tech. degree in Computer Science and Engineering from the Indian Institute of Technology, Bombay in 1996. He was a post-doctoral researcher at the USC Robotics Research Labs during 2003-2004. Anand can be reached at anandvp@usc.edu Anand Panangadan Email: anandvp@usc.edu URL: http://www-hsc.usc.edu/~anandvp/ |
|
Back to CRES |