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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-0180</issn><issn pub-type="epub">3042-0180</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/scfa.v2i1.40 </article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Internet of things, Load balancing, Scheduling algorithms.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Energy-Effcient Smart Cities with Green Internet of Things</article-title><subtitle>Energy-Effcient Smart Cities with Green Internet of Things</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Saha</surname>
		<given-names>Rituparna </given-names>
	</name>
	<aff>School of Computer Science Engineering, KIIT University, Bhubaneswar, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>02</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>02</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Energy-Effcient Smart Cities with Green Internet of Things</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The increasing number of Internet of Things (IoT) devices in smart cities has resulted in a significant rise in energy usage. To promote sustainability and minimize environmental effects, it is essential to investigate green energy options. This study examines the challenges related to IoT energy usage in smart cities and explores diverse green energy solutions. It evaluates the benefits and drawbacks of solar, wind, and geothermal energy, along with energy-efficient designs for IoT devices and centralized energy management systems. Furthermore, the paper underscores the significance of policy frameworks and collaborations between public and private sectors in encouraging the uptake of green energy solutions.
		</p>
		</abstract>
    </article-meta>
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