Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhanc...
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creator | Ghasemzadeh, H. Jain, N. Sgroi, M. Jafari, R. |
description | Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient communication scheme that uses buffers to reduce the number of transmissions among the sensor nodes constrained to limited hardware resources. A direct acyclic graph is used to model the information flow. We define a communication optimization problem and solve it using convex optimization techniques. We present results that support the efficiency of the proposed technique. |
doi_str_mv | 10.1109/DATE.2009.5090688 |
format | Conference Proceeding |
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These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient communication scheme that uses buffers to reduce the number of transmissions among the sensor nodes constrained to limited hardware resources. A direct acyclic graph is used to model the information flow. We define a communication optimization problem and solve it using convex optimization techniques. We present results that support the efficiency of the proposed technique.</description><subject>Batteries</subject><subject>Biomedical monitoring</subject><subject>Body sensor networks</subject><subject>Data communication</subject><subject>Energy consumption</subject><subject>Medical services</subject><subject>Power system modeling</subject><subject>Sensor systems</subject><subject>Signal processing</subject><subject>Wireless sensor networks</subject><issn>1530-1591</issn><issn>1558-1101</issn><isbn>9781424437818</isbn><isbn>1424437814</isbn><isbn>9783981080155</isbn><isbn>3981080157</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtOwzAQRc1LopR-AGLjH0gZv2qbXVTKQ6rEpqwrJ50UU-KUOBEqX4-h2czVzD0aXV1CbhhMGQN795CvFlMOYKcKLMyMOSETq42whoEBptQpGaVpskSzs3-PSS6lSGrO_zwBGVOWXZKrGD8AQAluR2Q3b-q6D750nW8CrX3wtf85LlXTUh-ygN130-7ovm1KjNGHbbrSotkcaMQQEzQQ8Z7mtOirClvqErgNNYaOdli-B__V4zW5qNxnxMmgY_L2uFjNn7Pl69PLPF9mnmnVZTzltmitErIQ2mpR6tJJcDPUWBkJXGIBM1UWvNBS6Uo6veHOmdQKM-CcGJPb41-PiOt962vXHtZDb-IXe3FerA</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Ghasemzadeh, H.</creator><creator>Jain, N.</creator><creator>Sgroi, M.</creator><creator>Jafari, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Communication minimization for in-network processing in body sensor networks: A buffer assignment technique</title><author>Ghasemzadeh, H. ; Jain, N. ; Sgroi, M. ; Jafari, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-24249e99534b37973c7ca40a6e7ef84024eb065cb2b7457f4a7d2aa8068180aa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Batteries</topic><topic>Biomedical monitoring</topic><topic>Body sensor networks</topic><topic>Data communication</topic><topic>Energy consumption</topic><topic>Medical services</topic><topic>Power system modeling</topic><topic>Sensor systems</topic><topic>Signal processing</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Ghasemzadeh, H.</creatorcontrib><creatorcontrib>Jain, N.</creatorcontrib><creatorcontrib>Sgroi, M.</creatorcontrib><creatorcontrib>Jafari, R.</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>Ghasemzadeh, H.</au><au>Jain, N.</au><au>Sgroi, M.</au><au>Jafari, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Communication minimization for in-network processing in body sensor networks: A buffer assignment technique</atitle><btitle>2009 Design, Automation & Test in Europe Conference & Exhibition</btitle><stitle>DATE</stitle><date>2009-04</date><risdate>2009</risdate><spage>358</spage><epage>363</epage><pages>358-363</pages><issn>1530-1591</issn><eissn>1558-1101</eissn><isbn>9781424437818</isbn><isbn>1424437814</isbn><eisbn>9783981080155</eisbn><eisbn>3981080157</eisbn><abstract>Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient communication scheme that uses buffers to reduce the number of transmissions among the sensor nodes constrained to limited hardware resources. A direct acyclic graph is used to model the information flow. We define a communication optimization problem and solve it using convex optimization techniques. We present results that support the efficiency of the proposed technique.</abstract><pub>IEEE</pub><doi>10.1109/DATE.2009.5090688</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Batteries Biomedical monitoring Body sensor networks Data communication Energy consumption Medical services Power system modeling Sensor systems Signal processing Wireless sensor networks |
title | Communication minimization for in-network processing in body sensor networks: A buffer assignment technique |
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