DocumentCode
2151856
Title
Networked infomechanical systems (NIMS): next generation sensor networks for environmental monitoring
Author
Pon, R. ; Kansal, Apoorv ; Duo Liu ; Rahimi, Mohammad ; Kaiser, William J. ; Pottie, Gregory J. ; Srivastava, M. ; Sukhatme, G. ; Estrin, D.
Author_Institution
Center for Embedded Networked Sensing, California Univ., Los Angeles, CA, USA
fYear
2005
fDate
12-17 June 2005
Abstract
Embedded networked sensing systems have been successfully applied to environmental monitoring in a wide range of applications. These first results have demonstrated a potential for advancing fundamental environmental science methods and environmental management capability as well as for providing future methods for safeguarding public health. While substantial progress in sensor network performance has appeared, new challenges have also emerged. Specifically, the inevitable and unpredictable time evolution of environmental phenomena introduces sensing uncertainty and degrades the performance of event detection, environment characterization, and sensor fusion. Many of the physical obstacles encountered by static sensors may be circumvented by a new method, networked infomechanical systems (NIMS). NIMS integrates distributed, embedded sensing and computing systems with infrastructure-supported mobility to enable direct uncertainty characterization, autonomous adjustment of spatiotemporal sampling rate, and active sensor fusion. NIMS actuation is also being applied to advancing sensor network performance through methods based on control of distributed, directional antenna systems. In addition to advances in fundamental research objectives, this presentation will describe the architecture, implementation, and application of NIMS now deployed and continuously operating in the field.
Keywords
directive antennas; environmental engineering; environmental management; intelligent sensors; wireless sensor networks; active sensor fusion; autonomous adjustment; directional antenna systems; environmental management; environmental monitoring; environmental phenomena; environmental science methods; infrastructure-supported mobility; networked infomechanical systems; networked sensing systems; spatiotemporal sampling rate; static sensors; uncertainty characterization; wireless sensor networks; Degradation; Environmental management; Event detection; Monitoring; Next generation networking; Public healthcare; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Symposium Digest, 2005 IEEE MTT-S International
ISSN
01490-645X
Print_ISBN
0-7803-8845-3
Type
conf
DOI
10.1109/MWSYM.2005.1516605
Filename
1516605
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