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Application of Adaptive SSA in Low Power Cluster Routing Matlab Simulation Education.

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Title: Application of Adaptive SSA in Low Power Cluster Routing Matlab Simulation Education.
Authors: Xiao-Ling Guo1 175666832@qq.com, Xing-Hua Sun2 1030704295@qq.com, Rui Wang1 33403408@qq.com, Bing-Qing Han3 2559403868@qq.com, Xin-Yu Yang3 990820203@qq.com
Source: IAENG International Journal of Computer Science. Dec2024, Vol. 51 Issue 12, p1987-1995. 9p.
Subjects: Clustering algorithms, Cosine function, Sine function, Energy consumption, Simulation methods in education
Abstract: The low-power cluster routing protocol is a significant research focus in the WSN course. The utilization of Matlab for digital modeling and teaching simulation significantly enhances the understanding of this particular subject matter. This article introduces a low-power cluster routing algorithm based on the adaptive SSA and applies it to the simulation teaching process. Firstly, the SSA is enhanced by sine and cosine functions, with the addition of an adaptive adjustment factor. Subsequently, Levy flight is incorporated into SSA to improve its ability to escape from localized extremes. Additionally, a standard normal distribution random number is introduced to increase individual diversity within the algorithm's population. Furthermore, this proposed adaptive algorithm ASSA undergoes testing for convergence accuracy and speed using standard test functions. Finally, the proposed algorithm ASSA is utilized in cluster routing algorithms and simulation teaching. This article utilizes MATLAB simulation analysis tool for modeling and visually demonstrating processes such as cluster head election, clustering, data communication, and node death in clustering algorithms. Simultaneously, it illustrates how the ASSA algorithm effectively reduces energy consumption in each round and prolongs system stability running time to students. This simulation teaching process enables students to gain a deeper and more intuitive understanding of important features such as low power consumption of nodes, system lifetime, and energy utilization; thereby enhancing teaching effectiveness. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Application of Adaptive SSA in Low Power Cluster Routing Matlab Simulation Education.
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  Data: <searchLink fieldCode="AR" term="%22Xiao-Ling+Guo%22">Xiao-Ling Guo</searchLink><relatesTo>1</relatesTo><i> 175666832@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xing-Hua+Sun%22">Xing-Hua Sun</searchLink><relatesTo>2</relatesTo><i> 1030704295@qq.com</i><br /><searchLink fieldCode="AR" term="%22Rui+Wang%22">Rui Wang</searchLink><relatesTo>1</relatesTo><i> 33403408@qq.com</i><br /><searchLink fieldCode="AR" term="%22Bing-Qing+Han%22">Bing-Qing Han</searchLink><relatesTo>3</relatesTo><i> 2559403868@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xin-Yu+Yang%22">Xin-Yu Yang</searchLink><relatesTo>3</relatesTo><i> 990820203@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Dec2024, Vol. 51 Issue 12, p1987-1995. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Cosine+function%22">Cosine function</searchLink><br /><searchLink fieldCode="DE" term="%22Sine+function%22">Sine function</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+in+education%22">Simulation methods in education</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The low-power cluster routing protocol is a significant research focus in the WSN course. The utilization of Matlab for digital modeling and teaching simulation significantly enhances the understanding of this particular subject matter. This article introduces a low-power cluster routing algorithm based on the adaptive SSA and applies it to the simulation teaching process. Firstly, the SSA is enhanced by sine and cosine functions, with the addition of an adaptive adjustment factor. Subsequently, Levy flight is incorporated into SSA to improve its ability to escape from localized extremes. Additionally, a standard normal distribution random number is introduced to increase individual diversity within the algorithm's population. Furthermore, this proposed adaptive algorithm ASSA undergoes testing for convergence accuracy and speed using standard test functions. Finally, the proposed algorithm ASSA is utilized in cluster routing algorithms and simulation teaching. This article utilizes MATLAB simulation analysis tool for modeling and visually demonstrating processes such as cluster head election, clustering, data communication, and node death in clustering algorithms. Simultaneously, it illustrates how the ASSA algorithm effectively reduces energy consumption in each round and prolongs system stability running time to students. This simulation teaching process enables students to gain a deeper and more intuitive understanding of important features such as low power consumption of nodes, system lifetime, and energy utilization; thereby enhancing teaching effectiveness. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        PageCount: 9
        StartPage: 1987
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      – SubjectFull: Clustering algorithms
        Type: general
      – SubjectFull: Cosine function
        Type: general
      – SubjectFull: Sine function
        Type: general
      – SubjectFull: Energy consumption
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      – SubjectFull: Simulation methods in education
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            NameFull: Rui Wang
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              M: 12
              Text: Dec2024
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