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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">3042-1322</issn><issn pub-type="epub">3042-1322</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48314/ramd.v1i2.49</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Sensors, Smart cities, Monitoring, Computer architecture, Data collection, Climate change, Meteorology.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>IoT-Based Disaster Detection and Response in Urban Areas</article-title><subtitle>IoT-Based Disaster Detection and Response in Urban Areas</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Singha </surname>
		<given-names>Rashmi </given-names>
	</name>
	<aff>School of Computer Science Engineering, KIIT University, Bhubaneshwar, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>17</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2024 REA Press</copyright-statement>
        <copyright-year>2024</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>IoT-Based Disaster Detection and Response in Urban Areas</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Every year, both natural and human-caused disasters lead to damage to infrastructure, financial costs, distress, injuries, and fatalities. Regrettably, climate change is enhancing the destructive capabilities of natural disasters. In this scenario, disaster detection and response systems based on the Internet of Things (IoT) have been suggested to manage disasters and emergencies more effectively by enhancing detection and Search and Rescue (SAR) operations during disaster response. Consequently, IoT devices are employed to gather data, which aids in identifying risks post-disaster and locating injured individuals. Nonetheless, relying solely on an IoT-based detection and response system may not be entirely adequate for emergency response in smart cities, as connectivity issues with IoT devices may arise due to damage in communication infrastructure or network overloads. Therefore, a new architecture is proposed for an intelligent disaster detection and response system tailored for smart cities. It outlines the key components of our proposed intelligent system and highlights the significant challenges that must be addressed in order to implement it successfully.
		</p>
		</abstract>
    </article-meta>
  </front>
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