Energy consumption analysis to predict the lifetime of IEEE 802.15.4 wireless sensor networks
A Wireless Sensor Network (WSN) consists of several sensor nodes with limited energy source. Lifetime of such network depends on the residual energy of its nodes. However, to successfully achieve the designated mission, WSNs should meet a required lifetime. Accordingly, computing lifetime allows a b...
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 | 6 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Ayoub, Z. T. Ouni, S. Kamoun, F. |
description | A Wireless Sensor Network (WSN) consists of several sensor nodes with limited energy source. Lifetime of such network depends on the residual energy of its nodes. However, to successfully achieve the designated mission, WSNs should meet a required lifetime. Accordingly, computing lifetime allows a better prediction of the network availability. Therefore, this paper proposes an analytical model to predict the lifetime of IEEE 802.15.4 wireless sensor networks. Our proposed model is based on a complete energy consumption analysis. In fact, it considers the most important sources of energy consumption such as overhearing, idle listening, overheads and collisions due to interference. Compared to simulation results and other analytical approaches, our model gives a reliable lifetime prediction for a given sensor network scenario. |
doi_str_mv | 10.1109/ComNet.2012.6217732 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6217732</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6217732</ieee_id><sourcerecordid>6217732</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-d156606b82cdbb79f5d92c0734bc201969176a0f608299d98291a259899b8fb3</originalsourceid><addsrcrecordid>eNo1kM1KAzEUhSMqWGufoJu8wIw3SSfJXUoZtVB0oQs3UubnjkZnJiWJlHl7C9bNOXybA99hbCkgFwLwdu2HJ0q5BCFzLYUxSp6xBRorVtooAaDlObv-B2Mu2EwKrTKt1dsVW8T4BQBKWGuLYsbey5HCx8QbP8afYZ-cH3k1Vv0UXeTJ832g1jWJp0_ivesouYG47_imLEtuQeaiyFf84AL1FCOPNEYf-Ejp4MN3vGGXXdVHWpx6zl7uy9f1Y7Z9ftis77aZQ0hZKwqtQddWNm1dG-yKFmUDRq3q5qiJGoXRFXQarERs8ZiikgVaxNp2tZqz5d-qI6LdPrihCtPu9I36BWepVX0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Energy consumption analysis to predict the lifetime of IEEE 802.15.4 wireless sensor networks</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ayoub, Z. T. ; Ouni, S. ; Kamoun, F.</creator><creatorcontrib>Ayoub, Z. T. ; Ouni, S. ; Kamoun, F.</creatorcontrib><description>A Wireless Sensor Network (WSN) consists of several sensor nodes with limited energy source. Lifetime of such network depends on the residual energy of its nodes. However, to successfully achieve the designated mission, WSNs should meet a required lifetime. Accordingly, computing lifetime allows a better prediction of the network availability. Therefore, this paper proposes an analytical model to predict the lifetime of IEEE 802.15.4 wireless sensor networks. Our proposed model is based on a complete energy consumption analysis. In fact, it considers the most important sources of energy consumption such as overhearing, idle listening, overheads and collisions due to interference. Compared to simulation results and other analytical approaches, our model gives a reliable lifetime prediction for a given sensor network scenario.</description><identifier>ISSN: 2163-663X</identifier><identifier>ISBN: 1467310077</identifier><identifier>ISBN: 9781467310079</identifier><identifier>EISBN: 9781467310062</identifier><identifier>EISBN: 9781467310086</identifier><identifier>EISBN: 1467310085</identifier><identifier>EISBN: 1467310069</identifier><identifier>DOI: 10.1109/ComNet.2012.6217732</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Batteries ; Energy consumption ; IEEE 802.15 Standards ; IEEE 802.15.4 ; Interference ; lifetime ; Network topology ; overhearing ; Wireless sensor networks</subject><ispartof>Third International Conference on Communications and Networking, 2012, p.1-6</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/6217732$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6217732$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ayoub, Z. T.</creatorcontrib><creatorcontrib>Ouni, S.</creatorcontrib><creatorcontrib>Kamoun, F.</creatorcontrib><title>Energy consumption analysis to predict the lifetime of IEEE 802.15.4 wireless sensor networks</title><title>Third International Conference on Communications and Networking</title><addtitle>ComNet</addtitle><description>A Wireless Sensor Network (WSN) consists of several sensor nodes with limited energy source. Lifetime of such network depends on the residual energy of its nodes. However, to successfully achieve the designated mission, WSNs should meet a required lifetime. Accordingly, computing lifetime allows a better prediction of the network availability. Therefore, this paper proposes an analytical model to predict the lifetime of IEEE 802.15.4 wireless sensor networks. Our proposed model is based on a complete energy consumption analysis. In fact, it considers the most important sources of energy consumption such as overhearing, idle listening, overheads and collisions due to interference. Compared to simulation results and other analytical approaches, our model gives a reliable lifetime prediction for a given sensor network scenario.</description><subject>Analytical models</subject><subject>Batteries</subject><subject>Energy consumption</subject><subject>IEEE 802.15 Standards</subject><subject>IEEE 802.15.4</subject><subject>Interference</subject><subject>lifetime</subject><subject>Network topology</subject><subject>overhearing</subject><subject>Wireless sensor networks</subject><issn>2163-663X</issn><isbn>1467310077</isbn><isbn>9781467310079</isbn><isbn>9781467310062</isbn><isbn>9781467310086</isbn><isbn>1467310085</isbn><isbn>1467310069</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1KAzEUhSMqWGufoJu8wIw3SSfJXUoZtVB0oQs3UubnjkZnJiWJlHl7C9bNOXybA99hbCkgFwLwdu2HJ0q5BCFzLYUxSp6xBRorVtooAaDlObv-B2Mu2EwKrTKt1dsVW8T4BQBKWGuLYsbey5HCx8QbP8afYZ-cH3k1Vv0UXeTJ832g1jWJp0_ivesouYG47_imLEtuQeaiyFf84AL1FCOPNEYf-Ejp4MN3vGGXXdVHWpx6zl7uy9f1Y7Z9ftis77aZQ0hZKwqtQddWNm1dG-yKFmUDRq3q5qiJGoXRFXQarERs8ZiikgVaxNp2tZqz5d-qI6LdPrihCtPu9I36BWepVX0</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Ayoub, Z. T.</creator><creator>Ouni, S.</creator><creator>Kamoun, F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201203</creationdate><title>Energy consumption analysis to predict the lifetime of IEEE 802.15.4 wireless sensor networks</title><author>Ayoub, Z. T. ; Ouni, S. ; Kamoun, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d156606b82cdbb79f5d92c0734bc201969176a0f608299d98291a259899b8fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical models</topic><topic>Batteries</topic><topic>Energy consumption</topic><topic>IEEE 802.15 Standards</topic><topic>IEEE 802.15.4</topic><topic>Interference</topic><topic>lifetime</topic><topic>Network topology</topic><topic>overhearing</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Ayoub, Z. T.</creatorcontrib><creatorcontrib>Ouni, S.</creatorcontrib><creatorcontrib>Kamoun, F.</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</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>Ayoub, Z. T.</au><au>Ouni, S.</au><au>Kamoun, F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Energy consumption analysis to predict the lifetime of IEEE 802.15.4 wireless sensor networks</atitle><btitle>Third International Conference on Communications and Networking</btitle><stitle>ComNet</stitle><date>2012-03</date><risdate>2012</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2163-663X</issn><isbn>1467310077</isbn><isbn>9781467310079</isbn><eisbn>9781467310062</eisbn><eisbn>9781467310086</eisbn><eisbn>1467310085</eisbn><eisbn>1467310069</eisbn><abstract>A Wireless Sensor Network (WSN) consists of several sensor nodes with limited energy source. Lifetime of such network depends on the residual energy of its nodes. However, to successfully achieve the designated mission, WSNs should meet a required lifetime. Accordingly, computing lifetime allows a better prediction of the network availability. Therefore, this paper proposes an analytical model to predict the lifetime of IEEE 802.15.4 wireless sensor networks. Our proposed model is based on a complete energy consumption analysis. In fact, it considers the most important sources of energy consumption such as overhearing, idle listening, overheads and collisions due to interference. Compared to simulation results and other analytical approaches, our model gives a reliable lifetime prediction for a given sensor network scenario.</abstract><pub>IEEE</pub><doi>10.1109/ComNet.2012.6217732</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2163-663X |
ispartof | Third International Conference on Communications and Networking, 2012, p.1-6 |
issn | 2163-663X |
language | eng |
recordid | cdi_ieee_primary_6217732 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Analytical models Batteries Energy consumption IEEE 802.15 Standards IEEE 802.15.4 Interference lifetime Network topology overhearing Wireless sensor networks |
title | Energy consumption analysis to predict the lifetime of IEEE 802.15.4 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=2025-02-11T15%3A55%3A39IST&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=Energy%20consumption%20analysis%20to%20predict%20the%20lifetime%20of%20IEEE%20802.15.4%20wireless%20sensor%20networks&rft.btitle=Third%20International%20Conference%20on%20Communications%20and%20Networking&rft.au=Ayoub,%20Z.%20T.&rft.date=2012-03&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.issn=2163-663X&rft.isbn=1467310077&rft.isbn_list=9781467310079&rft_id=info:doi/10.1109/ComNet.2012.6217732&rft_dat=%3Cieee_6IE%3E6217732%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467310062&rft.eisbn_list=9781467310086&rft.eisbn_list=1467310085&rft.eisbn_list=1467310069&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6217732&rfr_iscdi=true |