Self-Organized Distributed Sensor Network Entity Tracking

The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) cluste...

Full description

Saved in:
Bibliographic Details
Published in:The international journal of high performance computing applications 2002-08, Vol.16 (3), p.207-219
Main Authors: Brooks, R.R., Griffin, C., Friedlander, D.S.
Format: Article
Language:English
Subjects:
Automation
Border patrol
Communications networks
Embedded systems
Information management
Infrastructure
Internet
Network topologies
Parameter estimation
R&D
Radio communications
Research & development
Semantics
Sensors
Simulation
Software
Statistical analysis
Systems design
Wireless communications
Wireless networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3
cites cdi_FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3
container_end_page 219
container_issue 3
container_start_page 207
container_title The international journal of high performance computing applications
container_volume 16
creator Brooks, R.R.
Griffin, C.
Friedlander, D.S.
description The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.
doi_str_mv 10.1177/10943420020160030201
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_35043488</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_10943420020160030201</sage_id><sourcerecordid>275451711</sourcerecordid><originalsourceid>FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3</originalsourceid><addsrcrecordid>eNp9kEtLw0AUhQdRsFb_gYvgwl303nkkmaXUJxS7aF2HyWSmTJsmdSZB6q93SgVBxNU5i-8c7j2EXCLcIOb5LYLkjFMACpgBsL0ekRHmHFNa8Ow4-oike-aUnIWwAoCMMzEicm4am878UrXu09TJvQu9d9XQRz83beh88mr6j86vk4e2d_0uWXil165dnpMTq5pgLr51TN4eHxaT53Q6e3qZ3E1TzVH0KSLUwkKuqEbNM64zk2lbs0owKrWESnIpVWGtskIYXucso6oCaVAqg1azMbk-9G599z6Y0JcbF7RpGtWabgglExCfL4oIXv0CV93g23hbSSnkEgTyCPEDpH0Xgje23Hq3UX5XIpT7Mcu_xowxPMSCWpqf3n8zX6Quc4Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>220790514</pqid></control><display><type>article</type><title>Self-Organized Distributed Sensor Network Entity Tracking</title><source>SAGE</source><creator>Brooks, R.R. ; Griffin, C. ; Friedlander, D.S.</creator><creatorcontrib>Brooks, R.R. ; Griffin, C. ; Friedlander, D.S.</creatorcontrib><description>The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.</description><identifier>ISSN: 1094-3420</identifier><identifier>EISSN: 1741-2846</identifier><identifier>DOI: 10.1177/10943420020160030201</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Automation ; Border patrol ; Communications networks ; Embedded systems ; Information management ; Infrastructure ; Internet ; Network topologies ; Parameter estimation ; R&amp;D ; Radio communications ; Research &amp; development ; Semantics ; Sensors ; Simulation ; Software ; Statistical analysis ; Systems design ; Wireless communications ; Wireless networks</subject><ispartof>The international journal of high performance computing applications, 2002-08, Vol.16 (3), p.207-219</ispartof><rights>Copyright SAGE PUBLICATIONS, INC. Fall 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3</citedby><cites>FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,79110</link.rule.ids></links><search><creatorcontrib>Brooks, R.R.</creatorcontrib><creatorcontrib>Griffin, C.</creatorcontrib><creatorcontrib>Friedlander, D.S.</creatorcontrib><title>Self-Organized Distributed Sensor Network Entity Tracking</title><title>The international journal of high performance computing applications</title><description>The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.</description><subject>Automation</subject><subject>Border patrol</subject><subject>Communications networks</subject><subject>Embedded systems</subject><subject>Information management</subject><subject>Infrastructure</subject><subject>Internet</subject><subject>Network topologies</subject><subject>Parameter estimation</subject><subject>R&amp;D</subject><subject>Radio communications</subject><subject>Research &amp; development</subject><subject>Semantics</subject><subject>Sensors</subject><subject>Simulation</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Systems design</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><issn>1094-3420</issn><issn>1741-2846</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLw0AUhQdRsFb_gYvgwl303nkkmaXUJxS7aF2HyWSmTJsmdSZB6q93SgVBxNU5i-8c7j2EXCLcIOb5LYLkjFMACpgBsL0ekRHmHFNa8Ow4-oike-aUnIWwAoCMMzEicm4am878UrXu09TJvQu9d9XQRz83beh88mr6j86vk4e2d_0uWXil165dnpMTq5pgLr51TN4eHxaT53Q6e3qZ3E1TzVH0KSLUwkKuqEbNM64zk2lbs0owKrWESnIpVWGtskIYXucso6oCaVAqg1azMbk-9G599z6Y0JcbF7RpGtWabgglExCfL4oIXv0CV93g23hbSSnkEgTyCPEDpH0Xgje23Hq3UX5XIpT7Mcu_xowxPMSCWpqf3n8zX6Quc4Y</recordid><startdate>200208</startdate><enddate>200208</enddate><creator>Brooks, R.R.</creator><creator>Griffin, C.</creator><creator>Friedlander, D.S.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>200208</creationdate><title>Self-Organized Distributed Sensor Network Entity Tracking</title><author>Brooks, R.R. ; Griffin, C. ; Friedlander, D.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Automation</topic><topic>Border patrol</topic><topic>Communications networks</topic><topic>Embedded systems</topic><topic>Information management</topic><topic>Infrastructure</topic><topic>Internet</topic><topic>Network topologies</topic><topic>Parameter estimation</topic><topic>R&amp;D</topic><topic>Radio communications</topic><topic>Research &amp; development</topic><topic>Semantics</topic><topic>Sensors</topic><topic>Simulation</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Systems design</topic><topic>Wireless communications</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brooks, R.R.</creatorcontrib><creatorcontrib>Griffin, C.</creatorcontrib><creatorcontrib>Friedlander, D.S.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>The international journal of high performance computing applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brooks, R.R.</au><au>Griffin, C.</au><au>Friedlander, D.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-Organized Distributed Sensor Network Entity Tracking</atitle><jtitle>The international journal of high performance computing applications</jtitle><date>2002-08</date><risdate>2002</risdate><volume>16</volume><issue>3</issue><spage>207</spage><epage>219</epage><pages>207-219</pages><issn>1094-3420</issn><eissn>1741-2846</eissn><abstract>The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/10943420020160030201</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1094-3420
ispartof The international journal of high performance computing applications, 2002-08, Vol.16 (3), p.207-219
issn 1094-3420
1741-2846
language eng
recordid cdi_proquest_miscellaneous_35043488
source SAGE
subjects Automation
Border patrol
Communications networks
Embedded systems
Information management
Infrastructure
Internet
Network topologies
Parameter estimation
R&D
Radio communications
Research & development
Semantics
Sensors
Simulation
Software
Statistical analysis
Systems design
Wireless communications
Wireless networks
title Self-Organized Distributed Sensor Network Entity Tracking
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A13%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Self-Organized%20Distributed%20Sensor%20Network%20Entity%20Tracking&rft.jtitle=The%20international%20journal%20of%20high%20performance%20computing%20applications&rft.au=Brooks,%20R.R.&rft.date=2002-08&rft.volume=16&rft.issue=3&rft.spage=207&rft.epage=219&rft.pages=207-219&rft.issn=1094-3420&rft.eissn=1741-2846&rft_id=info:doi/10.1177/10943420020160030201&rft_dat=%3Cproquest_cross%3E275451711%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c415t-110d5f07a2c1c464c6e6cfd3b5329c90b9499a8ffaf55e4d7362ab09e19ae1fc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=220790514&rft_id=info:pmid/&rft_sage_id=10.1177_10943420020160030201&rfr_iscdi=true