An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things
With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this d...
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creator | Gatti, Rathishchandra Ramachandra Singh, Chandra P, Srividya Bhat, Sandeep |
description | With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.
With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians. |
doi_str_mv | 10.4018/978-1-6684-4974-5.ch009 |
format | Book Chapter |
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With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.</description><identifier>ISBN: 1668449749</identifier><identifier>ISBN: 9781668449745</identifier><identifier>DOI: 10.4018/978-1-6684-4974-5.ch009</identifier><language>eng</language><publisher>IGI Global</publisher><subject>Computer Engineering ; Computer Science & IT ; LCSH: Low voltage integrated circuits. | Electronic digital</subject><ispartof>Energy Systems Design for Low-Power Computing, 2023, p.166-186</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://coverimages.igi-global.com/cover-images/covers/9781668449745.png</thumbnail><link.rule.ids>780,781,785,794,23143,27930</link.rule.ids></links><search><creatorcontrib>Gatti, Rathishchandra Ramachandra</creatorcontrib><creatorcontrib>Singh, Chandra</creatorcontrib><creatorcontrib>P, Srividya</creatorcontrib><creatorcontrib>Bhat, Sandeep</creatorcontrib><title>An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things</title><title>Energy Systems Design for Low-Power Computing</title><description>With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.
With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.</description><subject>Computer Engineering</subject><subject>Computer Science & IT</subject><subject>LCSH: Low voltage integrated circuits. | Electronic digital</subject><isbn>1668449749</isbn><isbn>9781668449745</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2023</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNplkNFKwzAYhQMiqHPPYF4g80-bNsllLdUNBl44r0uyJG11SyGJw769q_POqwPnO5yLD6EHCisGVDxKLgglZSkYYZIzUqz2PYC8Qnd0LudO3qBljB8AkHGWUShv0bHyuPnu1VdMw8niyqvDFIeIR4cbb0M34bUKJ3umvsOVjmPQNkSsvMFPKiUbJlz3KnQzfptisseI3Rhw6i3e-DP3Ns1nu_68iPfo2qlDtMu_XKD352ZXr8n29WVTV1syUEoT0ZZKacS-AMOMKbmwuiy4zQtXZAwKkMCdcZlRAiRTUuRUAzjLSpDKOK7zBYLL79ANrR7Hz9hSaGdN7T9N7a-m_AcdMV3R</recordid><startdate>20230307</startdate><enddate>20230307</enddate><creator>Gatti, Rathishchandra Ramachandra</creator><creator>Singh, Chandra</creator><creator>P, Srividya</creator><creator>Bhat, Sandeep</creator><general>IGI Global</general><scope/></search><sort><creationdate>20230307</creationdate><title>An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things</title><author>Gatti, Rathishchandra Ramachandra ; Singh, Chandra ; P, Srividya ; Bhat, Sandeep</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i111t-be199d8c50d4dd678eb657e35f524050907fdf2da8094a9831b00fe4609adf7b3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Engineering</topic><topic>Computer Science & IT</topic><topic>LCSH: Low voltage integrated circuits. | Electronic digital</topic><toplevel>online_resources</toplevel><creatorcontrib>Gatti, Rathishchandra Ramachandra</creatorcontrib><creatorcontrib>Singh, Chandra</creatorcontrib><creatorcontrib>P, Srividya</creatorcontrib><creatorcontrib>Bhat, Sandeep</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gatti, Rathishchandra Ramachandra</au><au>Singh, Chandra</au><au>P, Srividya</au><au>Bhat, Sandeep</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things</atitle><btitle>Energy Systems Design for Low-Power Computing</btitle><date>2023-03-07</date><risdate>2023</risdate><spage>166</spage><epage>186</epage><pages>166-186</pages><isbn>1668449749</isbn><isbn>9781668449745</isbn><abstract>With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.
With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.</abstract><pub>IGI Global</pub><doi>10.4018/978-1-6684-4974-5.ch009</doi><tpages>21</tpages></addata></record> |
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subjects | Computer Engineering Computer Science & IT LCSH: Low voltage integrated circuits. | Electronic digital |
title | An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things |
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