Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks
In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit po...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on wireless communications 2006-11, Vol.5 (11), p.3109-3118 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3118 |
---|---|
container_issue | 11 |
container_start_page | 3109 |
container_title | IEEE transactions on wireless communications |
container_volume | 5 |
creator | Shu, T. Krunz, M. Vrudhula, S. |
description | In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit power and transmission time for each active node in the network. The problem is formulated as a non-convex optimization. Numerical as well as closed-form approximate solutions are provided. For the numerical solution, we show that the formulation can be transformed into a convex geometric programming (GP), for which fast algorithms, such as interior point method, can be applied. For the closed-form solution, we prove that the joint power/time optimization can be decoupled into two sequential sub-problems: optimization of transmit power with transmission time serving as a parameter, and then optimization of the transmission time. We show that the first sub-problem is a linear program while the second one can be well approximated as a convex programming problem. Taking advantage of these analytical results, we further derive the per-bit energy efficiency. Our results are verified through numerical examples and simulations |
doi_str_mv | 10.1109/TWC.2006.04738 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_4027781</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4027781</ieee_id><sourcerecordid>896236946</sourcerecordid><originalsourceid>FETCH-LOGICAL-c454t-5e1037feb8c21e2afb294a3fdb30a2a09ee5fdf2132c81660030d6b301ff297e3</originalsourceid><addsrcrecordid>eNpdkEtLAzEQgBdR8Hn14iUI4mlrHrtJ9qi1vvAFVjyGNDuR6G5Sky2l_nq3VhQ8zTDzzYMvy_YJHhCCq5Pxy3BAMeYDXAgm17ItUpYyp7SQ68uc8ZxQwTez7ZTeMCaCl-VWVt8E5zv0MO1c6z5154JHwaJx1D61rkOPYQ4xH7sWkPY1OutLIw_xdYFG1jrjwJsFch4Nz-9O0YuL0EBK6Al8ChHdQzcP8T3tZhtWNwn2fuJO9nwxGg-v8tuHy-vh6W1uirLo8hIIZsLCRBpKgGo7oVWhma0nDGuqcQVQ2tpSwqiRhHOMGa553yTW0koA28mOV3unMXzMIHWqdclA02gPYZaUrDhlvCp4Tx7-I9_CLPr-OSU5l2VRCdxDgxVkYkgpglXT6FodF4pgtVSueuVqqVx9K-8Hjn626mR0Y3uJxqW_KUkFpWR5_WDFOQD4bReYCiEJ-wI3jIkL</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>866854970</pqid></control><display><type>article</type><title>Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks</title><source>IEEE Electronic Library (IEL)</source><creator>Shu, T. ; Krunz, M. ; Vrudhula, S.</creator><creatorcontrib>Shu, T. ; Krunz, M. ; Vrudhula, S.</creatorcontrib><description>In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit power and transmission time for each active node in the network. The problem is formulated as a non-convex optimization. Numerical as well as closed-form approximate solutions are provided. For the numerical solution, we show that the formulation can be transformed into a convex geometric programming (GP), for which fast algorithms, such as interior point method, can be applied. For the closed-form solution, we prove that the joint power/time optimization can be decoupled into two sequential sub-problems: optimization of transmit power with transmission time serving as a parameter, and then optimization of the transmission time. We show that the first sub-problem is a linear program while the second one can be well approximated as a convex programming problem. Taking advantage of these analytical results, we further derive the per-bit energy efficiency. Our results are verified through numerical examples and simulations</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2006.04738</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>Piscataway, NJ: IEEE</publisher><subject>Algorithms ; Applied sciences ; Approximation ; Batteries ; Circuits ; Closed-form solution ; Energy consumption ; Energy efficiency ; Exact sciences and technology ; Exact solutions ; Linear programming ; Mathematical analysis ; Mathematical models ; Multiaccess communication ; Networks ; Numerical simulation ; Optimization ; Programming ; Services and terminals of telecommunications ; Studies ; Systems, networks and services of telecommunications ; Telecommunication traffic ; Telecommunications ; Telecommunications and information theory ; Telemetry. Remote supervision. Telewarning. Remote control ; Transmission and modulation (techniques and equipments) ; Wireless sensor networks</subject><ispartof>IEEE transactions on wireless communications, 2006-11, Vol.5 (11), p.3109-3118</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-5e1037feb8c21e2afb294a3fdb30a2a09ee5fdf2132c81660030d6b301ff297e3</citedby><cites>FETCH-LOGICAL-c454t-5e1037feb8c21e2afb294a3fdb30a2a09ee5fdf2132c81660030d6b301ff297e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4027781$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4027781$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18272216$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shu, T.</creatorcontrib><creatorcontrib>Krunz, M.</creatorcontrib><creatorcontrib>Vrudhula, S.</creatorcontrib><title>Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit power and transmission time for each active node in the network. The problem is formulated as a non-convex optimization. Numerical as well as closed-form approximate solutions are provided. For the numerical solution, we show that the formulation can be transformed into a convex geometric programming (GP), for which fast algorithms, such as interior point method, can be applied. For the closed-form solution, we prove that the joint power/time optimization can be decoupled into two sequential sub-problems: optimization of transmit power with transmission time serving as a parameter, and then optimization of the transmission time. We show that the first sub-problem is a linear program while the second one can be well approximated as a convex programming problem. Taking advantage of these analytical results, we further derive the per-bit energy efficiency. Our results are verified through numerical examples and simulations</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Approximation</subject><subject>Batteries</subject><subject>Circuits</subject><subject>Closed-form solution</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Exact sciences and technology</subject><subject>Exact solutions</subject><subject>Linear programming</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Multiaccess communication</subject><subject>Networks</subject><subject>Numerical simulation</subject><subject>Optimization</subject><subject>Programming</subject><subject>Services and terminals of telecommunications</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunication traffic</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Telemetry. Remote supervision. Telewarning. Remote control</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Wireless sensor networks</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkEtLAzEQgBdR8Hn14iUI4mlrHrtJ9qi1vvAFVjyGNDuR6G5Sky2l_nq3VhQ8zTDzzYMvy_YJHhCCq5Pxy3BAMeYDXAgm17ItUpYyp7SQ68uc8ZxQwTez7ZTeMCaCl-VWVt8E5zv0MO1c6z5154JHwaJx1D61rkOPYQ4xH7sWkPY1OutLIw_xdYFG1jrjwJsFch4Nz-9O0YuL0EBK6Al8ChHdQzcP8T3tZhtWNwn2fuJO9nwxGg-v8tuHy-vh6W1uirLo8hIIZsLCRBpKgGo7oVWhma0nDGuqcQVQ2tpSwqiRhHOMGa553yTW0koA28mOV3unMXzMIHWqdclA02gPYZaUrDhlvCp4Tx7-I9_CLPr-OSU5l2VRCdxDgxVkYkgpglXT6FodF4pgtVSueuVqqVx9K-8Hjn626mR0Y3uJxqW_KUkFpWR5_WDFOQD4bReYCiEJ-wI3jIkL</recordid><startdate>20061101</startdate><enddate>20061101</enddate><creator>Shu, T.</creator><creator>Krunz, M.</creator><creator>Vrudhula, S.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20061101</creationdate><title>Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks</title><author>Shu, T. ; Krunz, M. ; Vrudhula, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-5e1037feb8c21e2afb294a3fdb30a2a09ee5fdf2132c81660030d6b301ff297e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Approximation</topic><topic>Batteries</topic><topic>Circuits</topic><topic>Closed-form solution</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Exact sciences and technology</topic><topic>Exact solutions</topic><topic>Linear programming</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Multiaccess communication</topic><topic>Networks</topic><topic>Numerical simulation</topic><topic>Optimization</topic><topic>Programming</topic><topic>Services and terminals of telecommunications</topic><topic>Studies</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunication traffic</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Telemetry. Remote supervision. Telewarning. Remote control</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shu, T.</creatorcontrib><creatorcontrib>Krunz, M.</creatorcontrib><creatorcontrib>Vrudhula, S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications 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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shu, T.</au><au>Krunz, M.</au><au>Vrudhula, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2006-11-01</date><risdate>2006</risdate><volume>5</volume><issue>11</issue><spage>3109</spage><epage>3118</epage><pages>3109-3118</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit power and transmission time for each active node in the network. The problem is formulated as a non-convex optimization. Numerical as well as closed-form approximate solutions are provided. For the numerical solution, we show that the formulation can be transformed into a convex geometric programming (GP), for which fast algorithms, such as interior point method, can be applied. For the closed-form solution, we prove that the joint power/time optimization can be decoupled into two sequential sub-problems: optimization of transmit power with transmission time serving as a parameter, and then optimization of the transmission time. We show that the first sub-problem is a linear program while the second one can be well approximated as a convex programming problem. Taking advantage of these analytical results, we further derive the per-bit energy efficiency. Our results are verified through numerical examples and simulations</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2006.04738</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1536-1276 |
ispartof | IEEE transactions on wireless communications, 2006-11, Vol.5 (11), p.3109-3118 |
issn | 1536-1276 1558-2248 |
language | eng |
recordid | cdi_ieee_primary_4027781 |
source | IEEE Electronic Library (IEL) |
subjects | Algorithms Applied sciences Approximation Batteries Circuits Closed-form solution Energy consumption Energy efficiency Exact sciences and technology Exact solutions Linear programming Mathematical analysis Mathematical models Multiaccess communication Networks Numerical simulation Optimization Programming Services and terminals of telecommunications Studies Systems, networks and services of telecommunications Telecommunication traffic Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission and modulation (techniques and equipments) Wireless sensor networks |
title | Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA 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=2025-02-10T10%3A10%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Joint%20Optimization%20of%20Transmit%20Power-Time%20and%20Bit%20Energy%20Efficiency%20in%20CDMA%20Wireless%20Sensor%20Networks&rft.jtitle=IEEE%20transactions%20on%20wireless%20communications&rft.au=Shu,%20T.&rft.date=2006-11-01&rft.volume=5&rft.issue=11&rft.spage=3109&rft.epage=3118&rft.pages=3109-3118&rft.issn=1536-1276&rft.eissn=1558-2248&rft.coden=ITWCAX&rft_id=info:doi/10.1109/TWC.2006.04738&rft_dat=%3Cproquest_RIE%3E896236946%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=866854970&rft_id=info:pmid/&rft_ieee_id=4027781&rfr_iscdi=true |