Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks
QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization algorithm based on population for complex multiple real parameter optimization problems in real world. In this paper, a novel multi-group multi-choice communication strategy algorithm for QUasi-Affine TRansformation Ev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8952709/ |
| _version_ | 1818665340737945600 |
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| author | Zhi-Gang Du Jeng-Shyang Pan Shu-Chuan Chu Han-Jiang Luo Pei Hu |
| author_facet | Zhi-Gang Du Jeng-Shyang Pan Shu-Chuan Chu Han-Jiang Luo Pei Hu |
| author_sort | Zhi-Gang Du |
| collection | DOAJ |
| description | QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization algorithm based on population for complex multiple real parameter optimization problems in real world. In this paper, a novel multi-group multi-choice communication strategy algorithm for QUasi-Affine TRansformation Evolutionary (MM-QUATRE) algorithm is proposed to solve the disadvantage that the original QUATRE is always easily to fall into local optimization in the strategy of updating bad nodes with multiple groups and multiple choices. We compared it with other intelligent algorithms, the most advanced PSO variant, parallel PSO (P-PSO) variant, native QUATRE and parallel QUATRE (P-PSO) under CEC2013 large-scale optimization test suite. Thus, the performance of MM-QUATRE was verified. The conclusion that the MM-QUATRE algorithm is superior to other intelligent algorithms is proved by the experimental results. In addition, the application results of MM-QUATRE algorithm (MM-QUATRE-RSSI) based on RSSI in WSN node localization were analyzed and studied. The results appear that this method has higher localization accuracy than other similar algorithms. |
| first_indexed | 2024-12-17T05:47:05Z |
| format | Article |
| id | doaj.art-0d24a692c36c4438aedaeeb31824ed56 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:47:05Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0d24a692c36c4438aedaeeb31824ed562022-12-21T22:01:16ZengIEEEIEEE Access2169-35362020-01-0188583859410.1109/ACCESS.2020.29647838952709Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor NetworksZhi-Gang Du0https://orcid.org/0000-0001-6380-889XJeng-Shyang Pan1https://orcid.org/0000-0002-3128-9025Shu-Chuan Chu2https://orcid.org/0000-0003-2117-0618Han-Jiang Luo3https://orcid.org/0000-0001-6796-9658Pei Hu4https://orcid.org/0000-0003-3711-4952College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaQUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization algorithm based on population for complex multiple real parameter optimization problems in real world. In this paper, a novel multi-group multi-choice communication strategy algorithm for QUasi-Affine TRansformation Evolutionary (MM-QUATRE) algorithm is proposed to solve the disadvantage that the original QUATRE is always easily to fall into local optimization in the strategy of updating bad nodes with multiple groups and multiple choices. We compared it with other intelligent algorithms, the most advanced PSO variant, parallel PSO (P-PSO) variant, native QUATRE and parallel QUATRE (P-PSO) under CEC2013 large-scale optimization test suite. Thus, the performance of MM-QUATRE was verified. The conclusion that the MM-QUATRE algorithm is superior to other intelligent algorithms is proved by the experimental results. In addition, the application results of MM-QUATRE algorithm (MM-QUATRE-RSSI) based on RSSI in WSN node localization were analyzed and studied. The results appear that this method has higher localization accuracy than other similar algorithms.https://ieeexplore.ieee.org/document/8952709/PSOP-PSOQUATRERSSIWSNMM-QUATRE |
| spellingShingle | Zhi-Gang Du Jeng-Shyang Pan Shu-Chuan Chu Han-Jiang Luo Pei Hu Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks IEEE Access PSO P-PSO QUATRE RSSI WSN MM-QUATRE |
| title | Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks |
| title_full | Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks |
| title_fullStr | Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks |
| title_full_unstemmed | Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks |
| title_short | Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks |
| title_sort | quasi affine transformation evolutionary algorithm with communication schemes for application of rssi in wireless sensor networks |
| topic | PSO P-PSO QUATRE RSSI WSN MM-QUATRE |
| url | https://ieeexplore.ieee.org/document/8952709/ |
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