NDLI: Data versus decision fusion for distributed classification in sensor networks

Content Provider	IEEE Xplore Digital Library
Author	D'Costa, A. Sayeed, A.M.
Copyright Year	2003
Description	Author affiliation: Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA (D'Costa, A.; Sayeed, A.M.)
Abstract	Sensor networks provide virtual snapshots of the physical world via densely distributed wireless nodes that can sense in different modalities. Classification of objects moving through the sensor field is an important application that requires collaborative signal processing (CSP) between nodes. Given the limited resources of nodes, a key constraint is to exchange the least amount of information between them to achieve desired performance. Two main forms of CSP are possible. Data fusion-exchange of low-dimensional feature vectors - is needed between correlated nodes. Decision fusion exchange of local likelihood values - is sufficient between independent nodes. Decision fusion is generally preferable due to its lower communication burden. We study CSP classification algorithms based on a Gaussian model for sensor measurements that provides a simple abstraction of node correlation and yields a simple characterization of the optimal maximum likelihood classifier. Two extreme sub-optimal classifiers are also considered: a data-averaging classifier that treats all measurements as correlated, and a decision-fusion classifier that treats them all as independent. Analytical and numerical results based on real data are provided to compare the performance of the three CSP classifiers. Our results indicate that the sub-optimal decision fusion classifier, that is most attractive in the context of sensor networks, is also a robust choice from a decision theoretic viewpoint.
Starting Page	585
Ending Page	590
File Size	406709
Page Count	6
File Format	PDF
ISBN	0780381408
DOI	10.1109/MILCOM.2003.1290169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Sensor fusion Signal processing algorithms Acoustic measurements Acoustic sensors Collaboration Wireless sensor networks Acoustical engineering Drives Condition monitoring
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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