Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering
Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environm...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 18 |
---|---|
container_issue | |
container_start_page | 13 |
container_title | |
container_volume | |
creator | Banerjee, N Khilar, P M |
description | Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD). |
doi_str_mv | 10.1109/ICIINFS.2010.5578744 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5578744</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5578744</ieee_id><sourcerecordid>5578744</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-956cfa6780b40984be2a155926de2a102fb073d44608168e62fe9979fa43d39c3</originalsourceid><addsrcrecordid>eNpVkM1OwzAQhM2fRFX6BHDwC6Ssf-LER1RRiFQBEr1XTrKuDImDbEdV355U9MJpZ_cbjTRLyAODJWOgH6tVVb2tP5ccpkueF2Uh5QVZ6KJkkkupVC7ySzLjSkMmJBdX_xhj1xNjSmYFMHZLFjF-AQCHaVN8RvoPDHYIvfENUuNNd4wu0sHS1sUUXD0mbKnzCUPvUkKfqDVjlyZs9n44eZ2nBxewwxhpRB-HQD2mwxC-Ix2j83vadGOcAiZ5R26s6SIuznNOtuvn7eo127y_VKunTeY0pEznqrFGFSXUEnQpa-SG5bnmqj0p4LaGQrRTPyiZKlFxi1oX2hopWqEbMSf3f7EOEXc_wfUmHHfn34lfYshhUg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Banerjee, N ; Khilar, P M</creator><creatorcontrib>Banerjee, N ; Khilar, P M</creatorcontrib><description>Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD).</description><identifier>ISSN: 2164-7011</identifier><identifier>ISBN: 9781424466511</identifier><identifier>ISBN: 1424466512</identifier><identifier>EISSN: 2690-3423</identifier><identifier>EISBN: 9781424466535</identifier><identifier>EISBN: 9781424466528</identifier><identifier>EISBN: 1424466520</identifier><identifier>EISBN: 1424466539</identifier><identifier>DOI: 10.1109/ICIINFS.2010.5578744</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Algorithm design and analysis ; Clustering ; Clustering algorithms ; Distributed Fault Detection ; Fault detection ; Fault diagnosis ; Intermittent Fault ; Node Failure Ratio ; Robot sensing systems ; Wireless Sensor Network ; Wireless sensor networks</subject><ispartof>2010 5th International Conference on Industrial and Information Systems, 2010, p.13-18</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5578744$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5578744$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Banerjee, N</creatorcontrib><creatorcontrib>Khilar, P M</creatorcontrib><title>Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering</title><title>2010 5th International Conference on Industrial and Information Systems</title><addtitle>ICIINFS</addtitle><description>Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD).</description><subject>Accuracy</subject><subject>Algorithm design and analysis</subject><subject>Clustering</subject><subject>Clustering algorithms</subject><subject>Distributed Fault Detection</subject><subject>Fault detection</subject><subject>Fault diagnosis</subject><subject>Intermittent Fault</subject><subject>Node Failure Ratio</subject><subject>Robot sensing systems</subject><subject>Wireless Sensor Network</subject><subject>Wireless sensor networks</subject><issn>2164-7011</issn><issn>2690-3423</issn><isbn>9781424466511</isbn><isbn>1424466512</isbn><isbn>9781424466535</isbn><isbn>9781424466528</isbn><isbn>1424466520</isbn><isbn>1424466539</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1OwzAQhM2fRFX6BHDwC6Ssf-LER1RRiFQBEr1XTrKuDImDbEdV355U9MJpZ_cbjTRLyAODJWOgH6tVVb2tP5ccpkueF2Uh5QVZ6KJkkkupVC7ySzLjSkMmJBdX_xhj1xNjSmYFMHZLFjF-AQCHaVN8RvoPDHYIvfENUuNNd4wu0sHS1sUUXD0mbKnzCUPvUkKfqDVjlyZs9n44eZ2nBxewwxhpRB-HQD2mwxC-Ix2j83vadGOcAiZ5R26s6SIuznNOtuvn7eo127y_VKunTeY0pEznqrFGFSXUEnQpa-SG5bnmqj0p4LaGQrRTPyiZKlFxi1oX2hopWqEbMSf3f7EOEXc_wfUmHHfn34lfYshhUg</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Banerjee, N</creator><creator>Khilar, P M</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering</title><author>Banerjee, N ; Khilar, P M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-956cfa6780b40984be2a155926de2a102fb073d44608168e62fe9979fa43d39c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accuracy</topic><topic>Algorithm design and analysis</topic><topic>Clustering</topic><topic>Clustering algorithms</topic><topic>Distributed Fault Detection</topic><topic>Fault detection</topic><topic>Fault diagnosis</topic><topic>Intermittent Fault</topic><topic>Node Failure Ratio</topic><topic>Robot sensing systems</topic><topic>Wireless Sensor Network</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Banerjee, N</creatorcontrib><creatorcontrib>Khilar, P M</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Banerjee, N</au><au>Khilar, P M</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering</atitle><btitle>2010 5th International Conference on Industrial and Information Systems</btitle><stitle>ICIINFS</stitle><date>2010-07</date><risdate>2010</risdate><spage>13</spage><epage>18</epage><pages>13-18</pages><issn>2164-7011</issn><eissn>2690-3423</eissn><isbn>9781424466511</isbn><isbn>1424466512</isbn><eisbn>9781424466535</eisbn><eisbn>9781424466528</eisbn><eisbn>1424466520</eisbn><eisbn>1424466539</eisbn><abstract>Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD).</abstract><pub>IEEE</pub><doi>10.1109/ICIINFS.2010.5578744</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2164-7011 |
ispartof | 2010 5th International Conference on Industrial and Information Systems, 2010, p.13-18 |
issn | 2164-7011 2690-3423 |
language | eng |
recordid | cdi_ieee_primary_5578744 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Accuracy Algorithm design and analysis Clustering Clustering algorithms Distributed Fault Detection Fault detection Fault diagnosis Intermittent Fault Node Failure Ratio Robot sensing systems Wireless Sensor Network Wireless sensor networks |
title | Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T11%3A23%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Performance%20analysis%20of%20distributed%20intermittent%20fault%20diagnosis%20in%20wireless%20sensor%20networks%20using%20clustering&rft.btitle=2010%205th%20International%20Conference%20on%20Industrial%20and%20Information%20Systems&rft.au=Banerjee,%20N&rft.date=2010-07&rft.spage=13&rft.epage=18&rft.pages=13-18&rft.issn=2164-7011&rft.eissn=2690-3423&rft.isbn=9781424466511&rft.isbn_list=1424466512&rft_id=info:doi/10.1109/ICIINFS.2010.5578744&rft_dat=%3Cieee_6IE%3E5578744%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424466535&rft.eisbn_list=9781424466528&rft.eisbn_list=1424466520&rft.eisbn_list=1424466539&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5578744&rfr_iscdi=true |