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  1. Circuits and Systems Magazine
  2. Year : 2008 Volume : 8
  3. Issue 2
  4. Distributed sensing based on intelligent sensor networks
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Year : 2016 Volume : 16
Year : 2015 Volume : 15
Year : 2014 Volume : 14
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Year : 2008 Volume : 8
Issue 4
Issue 3
Issue 2
Front cover - IEEE Circuits and Systems Magazine - Second Quarter 2008
Table of contents - Vol 8 No 2
From the Editor
Insect-vision inspired collision warning vision processor for automobiles
Energy-aware portable video communication system design for wildlife activity monitoring
Distributed sensing based on intelligent sensor networks
Moore's Law today
Leon Chua's memristor [Recognitions]
The limits of light: The finite bandwidth of optical fibre [Open Column]
Issue 1
Year : 2007 Volume : 7
Year : 2006 Volume : 6
Year : 2005 Volume : 5
Year : 2004 Volume : 4
Year : 2003 Volume : 3
Year : 2002 Volume : 2
Year : 2001 Volume : 1

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Distributed sensing based on intelligent sensor networks

Content Provider IEEE Xplore Digital Library
Author Leung, H. Chandana, S. Shuang Wei
Copyright Year 2001
Abstract Network centric approach to complex systems has been attracting a lot of attention in the recent past. With specific applications in space, military and other information enterprises, such an approach is capable of yielding autonomy at the system level. This article describes a distributed approach to information processing in sensor networks. The network architecture entails a hierarchy of capabilities, information and control, where nodes in the network are thoroughly or partially autonomous. The network also consists of slave nodes dedicated to sensing and gathering information. Individual nodes are expected to possess resources for networking and computing and presume autonomy through multi functional modules for sensory processing and situation assessment. Data association, registration and fusion are formulated into a joint process, and an expectation maximization (EM) approach is developed to solve the three problems simultaneously. A fuzzy cognitive map (FCM) is proposed to perform situation assessment, while a genetic algorithm (GA) is applied for learning, to identify an optimal structure. The distributed architecture is applied to coastal surveillance with simulations on the west coast of Canada.
File Size 2800590
File Format PDF
ISSN 1531636X
Volume Number 8
Issue Number 2
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2008-09-01
Publisher Place U.S.A.
Access Restriction One Nation One Subscription (ONOS)
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Intelligent sensors Sensor arrays Wireless sensor networks Acoustic sensors Surveillance Remote monitoring Medical services Humans Wildlife Radar tracking
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Computer Science Applications
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