Center for Embedded Networked Sensing (CENS)

NSF Org: CCF Division of Computing and Communication Foundations divider line Initial Amendment Date: September 13, 2002 divider line Latest Amendment Date: September 28, 2011 divider line Award Number: 0120778 divider line Award Instrument: Cooperative Agreement divider line Program Manager: John Cozzens CCF Division of Computing and Communication Foundations CSE Direct For Computer & Info Scie & Enginr divider line Start Date: August 1, 2002 divider line End Date: July 31, 2013 (Estimated) divider line Awarded Amount to Date: $39,431,537.00 divider line Investigator(s): Deborah Estrin destrin@cs.cornell.edu (Principal Investigator) Michael Allen (Co-Principal Investigator) Thomas Harmon (Co-Principal Investigator) Gaurav Sukhatme (Co-Principal Investigator) Mark Hansen (Co-Principal Investigator) Paul Davis (Former Co-Principal Investigator) Christine Borgman (Former Co-Principal Investigator) divider line Sponsor: University of California-Los Angeles 10889 Wilshire Boulevard LOS ANGELES, CA 90095-1406 (310)794-0102 divider line NSF Program(s): STC Integrative Partnrshps Adm, Information Technology Researc, Special Projects - CNS, SIGNAL PROCESSING SYS PROGRAM, STC CLASS OF 2002, ERE General, SIGNAL PROCESSING, SENSOR NETWORKS divider line Program Reference Code(s): 7925, 9216, 9218, 9251, HPCC divider line Program Element Code(s): 1297, 1640, 1714, 4720, 7213, 7304, 7936, 7938 ABSTRACT ABSTRACT 0120778 U of Calif - Los Angeles The research focus of the Center for Embedded Networked Sensing (CENS) will be the fundamental science and engineering research needed to create scalable, robust, adaptive, sensor/actuator networks. The vision of densely distributed, networked sensing and actuation requires advances in many areas of information technology. Moreover, there is a critical interplay between the technology and the applications and physical context in which it is embedded. By conducting research in the context of specific and high-impact scientific applications, CENS will enable new scientific discovery through high resolution, in situ monitoring and actuation. At the same time, CENS will explore the fundamental principles and technologies needed to apply embedded networked sensing to a wide range of applications. The Center will focus initially on fundamental technology and on four experimental application drivers: habitat monitoring for bio-complexity studies, spatially-dense seismic sensing and structure response, monitoring and modeling contaminant flows, and detection and identification of marine microorganisms. To support this scope, CENS will combine the expertise of faculty from diverse engineering disciplines with the expertise of biological, environmental and earth scientists. During the lifetime of the Center, additional opportunities for applying the technology to natural and engineered systems will be pursued. The CENS educational focus will be twofold: new hands-on experimental capabilities for grades 7-12 science curriculum through access to real-world, real-time, sensor-network interrogation, along with materials for teacher-training, and undergraduate research opportunities in cutting-edge technologies (e.g., wireless systems, MEMS, embedded software) and scientific applications (e.g., bio-complexity, seismic and environmental monitoring), with emphasis on under-represented minority students. CENS will benefit from and contribute to a large number of related activities on its participating campuses, and in the larger research and education community, including: UCLA's California Nanosystems Institute, Institute for Pure and Applied Mathematics, Nanoelectronics Research Facility; USC's Information Sciences Institute, Wrigley Institute for Environmental Studies; UC Reserve systems; Cal State and GLOBE Teacher training programs; INEEL, JPL government laboratories; DARPA, and NSF-related research activities. Many of the constituent technologies will have near- and long-term commercial relevance. Please report errors in award information by writing to: awardsearch@nsf.gov.