Journal of Innovation in Applied Research (eISSN: 2581-4206)

Jounal of Innovation in Applied Research
(eISSN: 2581-4206)
Data Optimization using Dynamic Technique with Artificial Bee Colony (ABC) Algorithm
Applied Research | Volume 4

Data Optimization using Dynamic Technique with Artificial Bee Colony (ABC) Algorithm

Mirza Samiulla Beg , Akhilesh A. Waoo
Open Access   

DOI: 10.51323/JIAR.4.1.2021.30-36

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After reading many papers, it was concluded that its result can be improved further. Many techniques have been used for data optimization in a wireless sensor network and their results are also good. But this result can be done even better. Artificial Bee Colony (ABC) algorithms can be used for this. Dynamic techniques can be used for data optimization in a wireless sensor network. Data optimization can be done by using the dynamic technique with an artificial bee colony (ABC) algorithm.

WSNs present an intriguing field of examination because of their few applications and their combination toward more perplexing organization frameworks. The challenges in WSNs are generally identified with their severe limitations, for example, energy, transfer speed, and memory. The research some central issues identified with inclusion, steering, and sink portability, displayed as independent enhancement issues or incorporated in conventions plan. They notice that the proposed arrangement techniques come from different fields of examination including computational calculation; direct, nonlinear, and requirement programming; metaheuristics and approximated strategies, and so forth Anyway our principal objective is to right off the bat recognize these issues from the expansive scope of works related with the above points. Further, mean to make the association with the traditional advancement issues. At long last, they report some comparative issues experienced in customary organizations and examine the contrasts between them. For the most part talking there are two enormous gatherings of works in the WSN field, those named application situated with reenactment, relative and additionally genuine equipment contemplates, and those falling in the hypothetical arranged examinations. They consider the two kinds of work yet emphasize the last one. The utility of hypothetical investigations is twofold: initially, they permit to assemble ideal arrangements to quantify the viability of the executed techniques and the examination of their conduct, and besides, they propose new strategies following restricted calculation limit, sensors energy, and so forth.


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        <journal-title>Journal of Innovation in Applied Research</journal-title>
        <abbrev-journal-title abbrev-type="pubmed">Journ of innovation in applied research</abbrev-journal-title>
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      <issn pub-type="ppub">2231-2196</issn>
      <issn pub-type="opub">0975-5241</issn>
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        <publisher-name>Radiance Research Academy</publisher-name>
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      <article-id pub-id-type="publisher-id">44</article-id>
      <article-id pub-id-type="doi">10.51323/JIAR.4.1.2021.30-36</article-id>
      <article-id pub-id-type="doi-url">https://jiar.in/Admin/upload/jiar/163099789339-45_Mirza_2021.pdf</article-id>
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        <subj-group subj-group-type="heading">
          <subject>Applied Research</subject>
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      <title-group>
        <article-title>Data Optimization using Dynamic Technique with Artificial Bee Colony (ABC) Algorithm&#13;
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        <contrib contrib-type="author">
          <name>
            <surname/>
            <given-names/>
          </name>
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        <contrib contrib-type="author">
          <name>
            <surname>Waoo</surname>
            <given-names>Akhilesh A.</given-names>
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      </contrib-group>
      <pub-date pub-type="ppub">
        <day>1</day>
        <month>01</month>
        <year>1970</year>
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      <volume>4</volume>
      <issue/>
      <fpage>30</fpage>
      <lpage>36</lpage>
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        </license>
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      <abstract>
        <p>After reading many papers, it was concluded that its result can be improved further. Many techniques have been used for data optimization in a wireless sensor network and their results are also good. But this result can be done even better. Artificial Bee Colony (ABC) algorithms can be used for this. Dynamic techniques can be used for data optimization in a wireless sensor network. Data optimization can be done by using the dynamic technique with an artificial bee colony (ABC) algorithm.&#13;
</p>
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        <kwd>Artificial Bee Colony (ABC)</kwd>
        <kwd> Particle Swarm Optimization (PSO)</kwd>
        <kwd> Net Present Value (NPV)</kwd>
        <kwd> Automated Software Testing  (AST)</kwd>
        <kwd> Data Centres (DC)</kwd>
        <kwd> Multi-Objective Optimization with The Artificial Bee Colony (MOABC)</kwd>
        <kwd> Improved Artificial Bee Colony (IABC)</kwd>
        <kwd> Mobile Wireless Sensor Networks (MWSN</kwd>
        <kwd>Testing</kwd>
      </kwd-group>
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Department of Computer Science, AKS University, Satna (M.P.) 485001
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