Maximum lifetime transmission in wireless sensor networks for a common source observation
Energy efficient transmission is of vital importance in the design of wireless sensor networks (WSN).Minimizing the sum of energy consumption of all sensor nodes in the network may lead to some nodes with non-rechargeable batteries running out of energy quickly. In this paper, we consider to maximiz...
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creator | Xiaolu Zhang Meixia Tao Chun Sum Ng |
description | Energy efficient transmission is of vital importance in the design of wireless sensor networks (WSN).Minimizing the sum of energy consumption of all sensor nodes in the network may lead to some nodes with non-rechargeable batteries running out of energy quickly. In this paper, we consider to maximize the time until the first node fails in the network, namely, the network lifetime. Transmission schemes in a WSN where multiple sensors observe a common physical phenomenon are investigated. We show that the optimal joint time and power control (JTPC) takes advantage of ldquolazy schedulingrdquo and ldquoopportunistic quantizationrdquo. We then demonstrate that the JTPC can be implemented in a partially distributed manner. Numerical results show that significant lifetime gain can be achieved when compared with existing scheduling algorithms. |
doi_str_mv | 10.1109/SPAWC.2008.4641567 |
format | Conference Proceeding |
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In this paper, we consider to maximize the time until the first node fails in the network, namely, the network lifetime. Transmission schemes in a WSN where multiple sensors observe a common physical phenomenon are investigated. We show that the optimal joint time and power control (JTPC) takes advantage of ldquolazy schedulingrdquo and ldquoopportunistic quantizationrdquo. We then demonstrate that the JTPC can be implemented in a partially distributed manner. Numerical results show that significant lifetime gain can be achieved when compared with existing scheduling algorithms.</description><identifier>ISSN: 1948-3244</identifier><identifier>ISBN: 1424420458</identifier><identifier>ISBN: 9781424420452</identifier><identifier>EISSN: 1948-3252</identifier><identifier>EISBN: 1424420466</identifier><identifier>EISBN: 9781424420469</identifier><identifier>DOI: 10.1109/SPAWC.2008.4641567</identifier><identifier>LCCN: 2008900141</identifier><language>eng</language><publisher>IEEE</publisher><subject>Energy efficiency ; Estimation ; Gain ; Noise ; Power control ; Quantization ; Wireless sensor networks</subject><ispartof>2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, 2008, p.46-50</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4641567$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4641567$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiaolu Zhang</creatorcontrib><creatorcontrib>Meixia Tao</creatorcontrib><creatorcontrib>Chun Sum Ng</creatorcontrib><title>Maximum lifetime transmission in wireless sensor networks for a common source observation</title><title>2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications</title><addtitle>SPAWC</addtitle><description>Energy efficient transmission is of vital importance in the design of wireless sensor networks (WSN).Minimizing the sum of energy consumption of all sensor nodes in the network may lead to some nodes with non-rechargeable batteries running out of energy quickly. In this paper, we consider to maximize the time until the first node fails in the network, namely, the network lifetime. Transmission schemes in a WSN where multiple sensors observe a common physical phenomenon are investigated. We show that the optimal joint time and power control (JTPC) takes advantage of ldquolazy schedulingrdquo and ldquoopportunistic quantizationrdquo. We then demonstrate that the JTPC can be implemented in a partially distributed manner. Numerical results show that significant lifetime gain can be achieved when compared with existing scheduling algorithms.</description><subject>Energy efficiency</subject><subject>Estimation</subject><subject>Gain</subject><subject>Noise</subject><subject>Power control</subject><subject>Quantization</subject><subject>Wireless sensor networks</subject><issn>1948-3244</issn><issn>1948-3252</issn><isbn>1424420458</isbn><isbn>9781424420452</isbn><isbn>1424420466</isbn><isbn>9781424420469</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkN1KAzEQheNPwbb2BfQmL7A1k0yyu5elWBUqCiriVcluZyHa7Eqytfr2Riw6N8PwzRzOGcbOQEwBRHnxcD97nk-lEMUUDYI2-QEbAUpEKdCYQzaEEotMSS2P_oEujv8A4oCNfgRKIQDhhE1ifBWpUCujxJC93NpP57eeb1xDvfPE-2Db6F2Mrmu5a_nOBdpQjDxSG7vAW-p3XXiLvEmD5XXnfVqM3TbUxLsqUviwfbo9ZYPGbiJN9n3MnhaXj_PrbHl3dTOfLTMnoeyzqkFRJTe2ro0Aa0gSVrW2uSjy3AI12q6NQmrKFGld2DJRqEErkDolWKsxO__VdUS0eg_O2_C12v9LfQOVZVpa</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Xiaolu Zhang</creator><creator>Meixia Tao</creator><creator>Chun Sum Ng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20080101</creationdate><title>Maximum lifetime transmission in wireless sensor networks for a common source observation</title><author>Xiaolu Zhang ; Meixia Tao ; Chun Sum Ng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i219t-bf40b453acc601a6e2e4bc5a70877a1ef5ad634ef9194d8a94bc1c153125630d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Energy efficiency</topic><topic>Estimation</topic><topic>Gain</topic><topic>Noise</topic><topic>Power control</topic><topic>Quantization</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiaolu Zhang</creatorcontrib><creatorcontrib>Meixia Tao</creatorcontrib><creatorcontrib>Chun Sum Ng</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 Xplore</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>Xiaolu Zhang</au><au>Meixia Tao</au><au>Chun Sum Ng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Maximum lifetime transmission in wireless sensor networks for a common source observation</atitle><btitle>2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications</btitle><stitle>SPAWC</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>46</spage><epage>50</epage><pages>46-50</pages><issn>1948-3244</issn><eissn>1948-3252</eissn><isbn>1424420458</isbn><isbn>9781424420452</isbn><eisbn>1424420466</eisbn><eisbn>9781424420469</eisbn><abstract>Energy efficient transmission is of vital importance in the design of wireless sensor networks (WSN).Minimizing the sum of energy consumption of all sensor nodes in the network may lead to some nodes with non-rechargeable batteries running out of energy quickly. In this paper, we consider to maximize the time until the first node fails in the network, namely, the network lifetime. Transmission schemes in a WSN where multiple sensors observe a common physical phenomenon are investigated. We show that the optimal joint time and power control (JTPC) takes advantage of ldquolazy schedulingrdquo and ldquoopportunistic quantizationrdquo. We then demonstrate that the JTPC can be implemented in a partially distributed manner. Numerical results show that significant lifetime gain can be achieved when compared with existing scheduling algorithms.</abstract><pub>IEEE</pub><doi>10.1109/SPAWC.2008.4641567</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1948-3244 |
ispartof | 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, 2008, p.46-50 |
issn | 1948-3244 1948-3252 |
language | eng |
recordid | cdi_ieee_primary_4641567 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Energy efficiency Estimation Gain Noise Power control Quantization Wireless sensor networks |
title | Maximum lifetime transmission in wireless sensor networks for a common source observation |
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