NDLI: Sensor networks for discovery

Content Provider	IEEE Xplore Digital Library
Author	Orchard, M. Nowak, R.
Copyright Year	2003
Description	Author affiliation: Rice Univ., Houston, TX, USA (Orchard, M.)
Abstract	Summary form only given. Advances in sensors, signal processing, and communications have opened the possibility of designing systems composed of dense spatial networks of low-cost sensor/processor elements working in concert to measure and analyze complex spatio-temporal fields and patterns. This possibility presents new challenges to our understanding of the capabilities, limitations, and design tradeoffs of networked collections of sensing and processing elements. We are investigating a new algorithmic framework that allows us to optimize jointly all aspects of sensor network operation - data collection, model selection, data processing, and communication - to provide systems that are capable of self-configuring in response to data in order to adapt and optimize their capabilities to understand the physical environment they are sensing. A crucial aspect of our proposed framework is that it places as few constraints as possible on the sensor network prior to collecting data. As measurements are made, the sensor network configures its structure, models, processing, and communication to the environment. At present, the framework is only a conceptual one, but we anticipate that the basic principles of our framework, which build on recent advances in coding and statistical learning theories, may have important implications for future sensor networks.
Sponsorship	IEEE Signal Processing Soc
File Size	27861
File Format	PDF
ISBN	0780379977
DOI	10.1109/SSP.2003.1289330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor systems Signal processing Signal design Pattern analysis Signal analysis Signal processing algorithms Data processing Statistical learning
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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