Scalable Topology and Energy Management in Wireless Sensor Networks
In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone...
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 | 3453 |
---|---|
container_issue | |
container_start_page | 3448 |
container_title | |
container_volume | |
creator | Rong Yu Zhi Sun Shunliang Mei |
description | In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone and allow the others to sleep (turn off the radios) for energy conservation. In this paper, we propose backbone energy efficient sleeping (BEES) management scheme, which has two attractive characteristics: (i) the backbone size is scalable with practical requirements; (ii) the backbone nodes are evenly distributed, which implies that the backbone itself is energy efficient for routing tasks. Simulation experiments evaluate the performance of BEES by comparing it with two existing topology management schemes. The results demonstrate the advantages of BEES over the existing algorithms. |
doi_str_mv | 10.1109/WCNC.2007.633 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4224878</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4224878</ieee_id><sourcerecordid>4224878</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-ec72135e14fb8dbcc1a9972e33a396138850c4aef332b39036bc25df645622bf3</originalsourceid><addsrcrecordid>eNpFjM1Kw0AURsc_sNYuXbmZF0ide-_cyWQpoVWh1kUrXZZJelOiaVIyBenbW1Hw25wDBz6l7sCMAUz2sMrn-RiNSceO6EzdgEVrjeOMz9UAmH2CDvDiP_j08icgJ8QA12oU44c5zTJ59gOVL8rQhKIRvez2XdNtjzq0Gz1ppT_pa2jDVnbSHnTd6lXdSyMx6oW0sev1XA5fXf8Zb9VVFZoooz8O1ft0ssyfk9nb00v-OEtqSPmQSJkiEAvYqvCboiwhZFmKQhQoc0DesyltkIoIC8oMuaJE3lTOskMsKhqq-9_fWkTW-77ehf64tojWp56-ATUdTVM</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Scalable Topology and Energy Management in Wireless Sensor Networks</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rong Yu ; Zhi Sun ; Shunliang Mei</creator><creatorcontrib>Rong Yu ; Zhi Sun ; Shunliang Mei</creatorcontrib><description>In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone and allow the others to sleep (turn off the radios) for energy conservation. In this paper, we propose backbone energy efficient sleeping (BEES) management scheme, which has two attractive characteristics: (i) the backbone size is scalable with practical requirements; (ii) the backbone nodes are evenly distributed, which implies that the backbone itself is energy efficient for routing tasks. Simulation experiments evaluate the performance of BEES by comparing it with two existing topology management schemes. The results demonstrate the advantages of BEES over the existing algorithms.</description><identifier>ISSN: 1525-3511</identifier><identifier>ISBN: 1424406587</identifier><identifier>ISBN: 9781424406586</identifier><identifier>EISSN: 1558-2612</identifier><identifier>EISBN: 1424406595</identifier><identifier>EISBN: 9781424406593</identifier><identifier>DOI: 10.1109/WCNC.2007.633</identifier><language>eng</language><publisher>IEEE</publisher><subject>Energy conservation ; Energy consumption ; Energy efficiency ; Energy management ; Network topology ; Radio spectrum management ; Sensor phenomena and characterization ; Sleep ; Spine ; Wireless sensor networks</subject><ispartof>2007 IEEE Wireless Communications and Networking Conference, 2007, p.3448-3453</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/4224878$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4224878$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rong Yu</creatorcontrib><creatorcontrib>Zhi Sun</creatorcontrib><creatorcontrib>Shunliang Mei</creatorcontrib><title>Scalable Topology and Energy Management in Wireless Sensor Networks</title><title>2007 IEEE Wireless Communications and Networking Conference</title><addtitle>WCNC</addtitle><description>In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone and allow the others to sleep (turn off the radios) for energy conservation. In this paper, we propose backbone energy efficient sleeping (BEES) management scheme, which has two attractive characteristics: (i) the backbone size is scalable with practical requirements; (ii) the backbone nodes are evenly distributed, which implies that the backbone itself is energy efficient for routing tasks. Simulation experiments evaluate the performance of BEES by comparing it with two existing topology management schemes. The results demonstrate the advantages of BEES over the existing algorithms.</description><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Network topology</subject><subject>Radio spectrum management</subject><subject>Sensor phenomena and characterization</subject><subject>Sleep</subject><subject>Spine</subject><subject>Wireless sensor networks</subject><issn>1525-3511</issn><issn>1558-2612</issn><isbn>1424406587</isbn><isbn>9781424406586</isbn><isbn>1424406595</isbn><isbn>9781424406593</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFjM1Kw0AURsc_sNYuXbmZF0ide-_cyWQpoVWh1kUrXZZJelOiaVIyBenbW1Hw25wDBz6l7sCMAUz2sMrn-RiNSceO6EzdgEVrjeOMz9UAmH2CDvDiP_j08icgJ8QA12oU44c5zTJ59gOVL8rQhKIRvez2XdNtjzq0Gz1ppT_pa2jDVnbSHnTd6lXdSyMx6oW0sev1XA5fXf8Zb9VVFZoooz8O1ft0ssyfk9nb00v-OEtqSPmQSJkiEAvYqvCboiwhZFmKQhQoc0DesyltkIoIC8oMuaJE3lTOskMsKhqq-9_fWkTW-77ehf64tojWp56-ATUdTVM</recordid><startdate>200703</startdate><enddate>200703</enddate><creator>Rong Yu</creator><creator>Zhi Sun</creator><creator>Shunliang Mei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200703</creationdate><title>Scalable Topology and Energy Management in Wireless Sensor Networks</title><author>Rong Yu ; Zhi Sun ; Shunliang Mei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ec72135e14fb8dbcc1a9972e33a396138850c4aef332b39036bc25df645622bf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Energy management</topic><topic>Network topology</topic><topic>Radio spectrum management</topic><topic>Sensor phenomena and characterization</topic><topic>Sleep</topic><topic>Spine</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Rong Yu</creatorcontrib><creatorcontrib>Zhi Sun</creatorcontrib><creatorcontrib>Shunliang Mei</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>Rong Yu</au><au>Zhi Sun</au><au>Shunliang Mei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Scalable Topology and Energy Management in Wireless Sensor Networks</atitle><btitle>2007 IEEE Wireless Communications and Networking Conference</btitle><stitle>WCNC</stitle><date>2007-03</date><risdate>2007</risdate><spage>3448</spage><epage>3453</epage><pages>3448-3453</pages><issn>1525-3511</issn><eissn>1558-2612</eissn><isbn>1424406587</isbn><isbn>9781424406586</isbn><eisbn>1424406595</eisbn><eisbn>9781424406593</eisbn><abstract>In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone and allow the others to sleep (turn off the radios) for energy conservation. In this paper, we propose backbone energy efficient sleeping (BEES) management scheme, which has two attractive characteristics: (i) the backbone size is scalable with practical requirements; (ii) the backbone nodes are evenly distributed, which implies that the backbone itself is energy efficient for routing tasks. Simulation experiments evaluate the performance of BEES by comparing it with two existing topology management schemes. The results demonstrate the advantages of BEES over the existing algorithms.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2007.633</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1525-3511 |
ispartof | 2007 IEEE Wireless Communications and Networking Conference, 2007, p.3448-3453 |
issn | 1525-3511 1558-2612 |
language | eng |
recordid | cdi_ieee_primary_4224878 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Energy conservation Energy consumption Energy efficiency Energy management Network topology Radio spectrum management Sensor phenomena and characterization Sleep Spine Wireless sensor networks |
title | Scalable Topology and Energy Management in Wireless Sensor Networks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T08%3A19%3A04IST&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=Scalable%20Topology%20and%20Energy%20Management%20in%20Wireless%20Sensor%20Networks&rft.btitle=2007%20IEEE%20Wireless%20Communications%20and%20Networking%20Conference&rft.au=Rong%20Yu&rft.date=2007-03&rft.spage=3448&rft.epage=3453&rft.pages=3448-3453&rft.issn=1525-3511&rft.eissn=1558-2612&rft.isbn=1424406587&rft.isbn_list=9781424406586&rft_id=info:doi/10.1109/WCNC.2007.633&rft_dat=%3Cieee_6IE%3E4224878%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424406595&rft.eisbn_list=9781424406593&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4224878&rfr_iscdi=true |