The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm
The RapidIO standard is a packet-switching interconnection technology similar to the Internet Protocol (IP) conceptually. It realizes the high-speed transmission of RapidIO packets at the transport layer, but this greatly increases the probability of network blocking. Therefore, it is of great signi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/3/914 |
| _version_ | 1797484768573521920 |
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| author | Yanming Fu Youquan Jia Baohua Huang Xing Zhou Xiaoqiong Qin |
| author_facet | Yanming Fu Youquan Jia Baohua Huang Xing Zhou Xiaoqiong Qin |
| author_sort | Yanming Fu |
| collection | DOAJ |
| description | The RapidIO standard is a packet-switching interconnection technology similar to the Internet Protocol (IP) conceptually. It realizes the high-speed transmission of RapidIO packets at the transport layer, but this greatly increases the probability of network blocking. Therefore, it is of great significance to optimize the RapidIO routing strategy. For this problem, this paper proposes a Double-Antibody Group Multi-Objective Artificial Immune Algorithm (DAG-MOAIA), which improves the local search and global search ability of the population by adaptive crossover and adaptive mutation of the double-antibody groups, and uses co-competition of multi-antibody groups to increase the diversity of population. Through DAG-MOAIA, an optimal transmission path from the source node to multiple destination nodes can be selected to solve the Quality Of Service (QoS) problem during data transmission and ensure the QoS of the RapidIO network. Simulation results show that DAG-MOAIA could obtain high-quality solutions to select better routing transmission paths, and exhibit better comprehensive performance in all simulated test networks, which plays a certain role in solving the problem of the RapidIO routing strategy. |
| first_indexed | 2024-03-09T23:10:10Z |
| format | Article |
| id | doaj.art-ceff7111f5db455fa23e0426c5e8114f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:10:10Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ceff7111f5db455fa23e0426c5e8114f2023-11-23T17:47:25ZengMDPI AGSensors1424-82202022-01-0122391410.3390/s22030914The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity AlgorithmYanming Fu0Youquan Jia1Baohua Huang2Xing Zhou3Xiaoqiong Qin4School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, ChinaSchool of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, ChinaSchool of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, ChinaSchool of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, ChinaSchool of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, ChinaThe RapidIO standard is a packet-switching interconnection technology similar to the Internet Protocol (IP) conceptually. It realizes the high-speed transmission of RapidIO packets at the transport layer, but this greatly increases the probability of network blocking. Therefore, it is of great significance to optimize the RapidIO routing strategy. For this problem, this paper proposes a Double-Antibody Group Multi-Objective Artificial Immune Algorithm (DAG-MOAIA), which improves the local search and global search ability of the population by adaptive crossover and adaptive mutation of the double-antibody groups, and uses co-competition of multi-antibody groups to increase the diversity of population. Through DAG-MOAIA, an optimal transmission path from the source node to multiple destination nodes can be selected to solve the Quality Of Service (QoS) problem during data transmission and ensure the QoS of the RapidIO network. Simulation results show that DAG-MOAIA could obtain high-quality solutions to select better routing transmission paths, and exhibit better comprehensive performance in all simulated test networks, which plays a certain role in solving the problem of the RapidIO routing strategy.https://www.mdpi.com/1424-8220/22/3/914double-antibody groupsadaptive crossoveradaptive mutationrouting strategy |
| spellingShingle | Yanming Fu Youquan Jia Baohua Huang Xing Zhou Xiaoqiong Qin The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm Sensors double-antibody groups adaptive crossover adaptive mutation routing strategy |
| title | The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm |
| title_full | The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm |
| title_fullStr | The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm |
| title_full_unstemmed | The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm |
| title_short | The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm |
| title_sort | rapidio routing strategy based on the double antibody group multi objective artificial immunity algorithm |
| topic | double-antibody groups adaptive crossover adaptive mutation routing strategy |
| url | https://www.mdpi.com/1424-8220/22/3/914 |
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