FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology
When an industrial wireless sensor network (WSN) is seriously disturbed and intentionally attacked, sometimes it fails easily, even leading to the paralysis of the entire industrial wireless network. In order to improve the invulnerability of networks, in this paper, the scale-free network in comple...
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/4/1114 |
| _version_ | 1818002100562427904 |
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| author | Ying Zhang Guangyuan Yang Bin Zhang |
| author_facet | Ying Zhang Guangyuan Yang Bin Zhang |
| author_sort | Ying Zhang |
| collection | DOAJ |
| description | When an industrial wireless sensor network (WSN) is seriously disturbed and intentionally attacked, sometimes it fails easily, even leading to the paralysis of the entire industrial wireless network. In order to improve the invulnerability of networks, in this paper, the scale-free network in complex networks is taken as the research object, and the industrial WSN with scale-free characteristics is modeled. Based on the advantages of the fireworks algorithm, such as strong searching ability and diversity of population, a so-called fireworks and particle swarm optimization (FW-PSO) algorithm is proposed, which can improve the global search ability and convergence speed effectively. The proposed FW-PSO algorithm is used to optimize the network topology and form a network with the largest natural connectivity, which can effectively promote the ability of network to resist the cascade failure problem. The dynamic invulnerability of the optimized network under highest-degree (HD) attack and lowest-degree (LD) attack strategies, as well as the static invulnerability under random attack, were evaluated respectively. Simulation experiments show that the industrial WSN optimized by FW-PSO can significantly improve the performance of the dynamic and static invulnerabilities compared with the initial network and the networks optimized by the other two existing algorithms. |
| first_indexed | 2024-04-14T03:42:24Z |
| format | Article |
| id | doaj.art-87fc68a8ae9f4e3d87c999700e49aa0a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T03:42:24Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-87fc68a8ae9f4e3d87c999700e49aa0a2022-12-22T02:14:28ZengMDPI AGSensors1424-82202020-02-01204111410.3390/s20041114s20041114FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks TopologyYing Zhang0Guangyuan Yang1Bin Zhang2College of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaWhen an industrial wireless sensor network (WSN) is seriously disturbed and intentionally attacked, sometimes it fails easily, even leading to the paralysis of the entire industrial wireless network. In order to improve the invulnerability of networks, in this paper, the scale-free network in complex networks is taken as the research object, and the industrial WSN with scale-free characteristics is modeled. Based on the advantages of the fireworks algorithm, such as strong searching ability and diversity of population, a so-called fireworks and particle swarm optimization (FW-PSO) algorithm is proposed, which can improve the global search ability and convergence speed effectively. The proposed FW-PSO algorithm is used to optimize the network topology and form a network with the largest natural connectivity, which can effectively promote the ability of network to resist the cascade failure problem. The dynamic invulnerability of the optimized network under highest-degree (HD) attack and lowest-degree (LD) attack strategies, as well as the static invulnerability under random attack, were evaluated respectively. Simulation experiments show that the industrial WSN optimized by FW-PSO can significantly improve the performance of the dynamic and static invulnerabilities compared with the initial network and the networks optimized by the other two existing algorithms.https://www.mdpi.com/1424-8220/20/4/1114fw-pso algorithmindustrial wireless sensor networksinvulnerabilityscale-freetopology optimization |
| spellingShingle | Ying Zhang Guangyuan Yang Bin Zhang FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology Sensors fw-pso algorithm industrial wireless sensor networks invulnerability scale-free topology optimization |
| title | FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology |
| title_full | FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology |
| title_fullStr | FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology |
| title_full_unstemmed | FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology |
| title_short | FW-PSO Algorithm to Enhance the Invulnerability of Industrial Wireless Sensor Networks Topology |
| title_sort | fw pso algorithm to enhance the invulnerability of industrial wireless sensor networks topology |
| topic | fw-pso algorithm industrial wireless sensor networks invulnerability scale-free topology optimization |
| url | https://www.mdpi.com/1424-8220/20/4/1114 |
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