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Center for Embedded Networked Sensing. Networked Infomechanical Systems (NIMS).

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networked infomechanical systems nims

Center for Embedded Networked Sensing

Networked Infomechanical Systems (NIMS)

NIMS Undergraduate Students: Roja Bandari, Jamie Burke, Victor Chen, Willie Chen, Wendy Gwo, Eric Lin, Kris Porter, Rachel Scollans, Michael Stealey, Lynn Wang, Eric Yuen. NIMS Graduate Students: Robert Gilbert, Jason Gordon, Aman Kansal, Xiangming Kong, Steve Liu, Chris Lucas, Richard Pon, Mohammad Rahimi, Nithya Ramanathan, Lisa Shirachi, Arun Somasundara, Jeffrey Tseng, Ashutosh Verma, Winston Wu, Yan Yu. NIMS Faculty: Richard Ambrose, Deborah Estrin, Michael Hamilton, Tom Harmon, Jenny Jay, William J. Kaiser, Gregory J. Pottie, Mani Srivastava, Gaurav Sukhatme, John Villasenor

Introduction: Robotic Networked Wireless Sensing for Environmental Monitoring

  • New Requirements
    • Measurement and detection in complex environments
    • Sampling of air, water, and soil.
    • Coverage of large spatial and temporal scales
  • Fundamental Challenges
    • Unpredictable and large sensing uncertainty
    • Limited energy and operating lifetime
  • Research Goals
    • Enable Sensor Diversity and Coordinated Mobility for self-awarenessof sensing uncertainty and autonomous adaptation to maximize sensing fidelity.
  • Application Goals
    • Distributed sensing in Natural and Civil Environments
  • Education Goals
    • High School, Undergraduate, and Graduate programs

Solutions: NIMS Nodes and Infrastructure

NIMS Permanent Deployment – James Reserve Deployed Since March 2004

Prototype Deployment at the Wind River Canopy Crane Research Facility – September 2003

Energy Efficient Actuation

All Weather Components

Pan, Tilt, Zoom Imager

RH, Ta, PAR Met Sensors

Festooning Power Distribution

Wireless Communication

In situ programmability

Information Technology Research, Applications, and Education

Education Programs

Information Technology Research

Environmental Science

And

Public Health

  • Undergraduate and Graduate Courses
    • Embedded Computing
    • Sensing and Imaging
    • Networked Robotic Systems
  • Undergraduate Research Programs
    • Multidisciplinary undergraduate research teams
  • Grade 7-12 Education Programs
    • Engage student and teacher communities in science and engineering
    • Real-time, remote Web access to active, controllable NIMS systems
  • Information Theory Foundations
    • Hierarchical System Ecology of fixed and mobile nodes with infrastructure.
  • Sensor Diversity
    • Diversityin sensor node location, orientation, and sensor type.
    • Enables distributed mapping of sensing uncertainty.
    • Enables distributed calibration of sensing channel
  • Coordinated Mobility
    • Physical transport of nodes and modification of infrastructure.
    • Enables proactive methods for reducing sensing uncertainty through optimized diversity and sampling.
    • Enables reactive methods that bring optimized sensing resources to bear.
  • NIMS Tools
    • NIMS System emulation
    • NIMS System Operation Authoring
  • Natural Environment
    • Fundamental studies of ecosystems
    • Focus on meteorology, phenology, carbon budget, global change indicators
    • Sensing, imaging, and spectroscopy.
    • Sampling of atmosphere, water.
  • Public Health Environment
    • Constantly vigilant monitoring and distributed detection of pathogens
    • Focus on coastal wetlands and urban water resources

UCLA – UCR – Caltech – USC – CSU – JPL – UC Merced