<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 12 Issue 2</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Computer Science and Engineering</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>March - April 2024</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2024</Year>
        <Month>04</Month>
        <Day>20</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>Energy-Efficient Fog Computing: A Review and Future Directions</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>135</FirstPage>
      <LastPage>139</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Priyanka Vashisht</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
                      <FirstName>Shalini Bhaskar Bajaj</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
                    <FirstName>Ashima Narang</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
           
        </Author>
      </AuthorList>
      <DOI>https://doi.org/10.55524/ijircst.2024.12.2.24</DOI>
      <Abstract>Fog computing has emerged as a promising paradigm to meet the increasing demands of latency-sensitive and bandwidth-intensive applications in the era of the Internet of Things (IoT) and edge computing. However, the proliferation of fog nodes introduces significant energy consumption challenges, particularly in resource-constrained environments. This paper presents a comprehensive review of energy-efficient techniques in fog computing, focusing on optimization strategies to minimize energy consumption while meeting application requirements. We categorize existing research efforts based on their approaches, including task scheduling, resource allocation, communication protocols, and energy harvesting techniques. Additionally, we identify key open challenges and propose future research directions to further enhance energy efficiency in fog computing environments.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Fog Computing, Energy Efficiency, Internet Of Things, Edge Computing, Resource Allocation, Task Scheduling, Communication Protocols, Energy Harvesting.</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=1251</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>