Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems
Industrial cyber-physical system is defined as transformative technologies for upgrading the traditional industrial mode. Wireless mesh network becomes a typical technology in industrial cyber-physical system for the network communication with large-scale distributed wireless terminals. However, the...
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| Format: | Article |
| Language: | English |
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Wiley
2017-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717729640 |
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| _version_ | 1849472490030497792 |
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| author | Tao Wang Jun Liu Lianglun Cheng Hong Xiao |
| author_facet | Tao Wang Jun Liu Lianglun Cheng Hong Xiao |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Industrial cyber-physical system is defined as transformative technologies for upgrading the traditional industrial mode. Wireless mesh network becomes a typical technology in industrial cyber-physical system for the network communication with large-scale distributed wireless terminals. However, the robustness of wireless mesh networks in the industrial environment is seriously challenged by worst working reliability of network nodes, more vulnerable wireless communication links, and so on. In this article, in order to enhance network robustness and reliability, we propose a robust collaborative mesh networking method for interconnecting large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems. First, moderate redundancy of network deployment is introduced to guarantee two-connectivity for each mesh router and two-coverage for each wireless terminal, and an improved metric for evaluating the overall network robustness is presented. Second, the robustness-aware collaborative mesh networking problem is formulated with a multi-objective optimization model, and an improved multi-objective particle swarm optimization algorithm based on self-adaptive evolutionary learning is exploited to search out the Pareto optimal particles with better distribution and diversity. The experimental results show how the network robustness and load-balancing performance change along with the increasing number of deployed mesh router/mesh gateways, and our method is helpful for finding out a robust wireless mesh network deployment scheme in industrial cyber-physical systems when given a deployment cost. |
| format | Article |
| id | doaj-art-af3bc143af7244d09bfded0cf0fc9db5 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-af3bc143af7244d09bfded0cf0fc9db52025-08-20T03:24:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-09-011310.1177/1550147717729640Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systemsTao Wang0Jun Liu1Lianglun Cheng2Hong Xiao3School of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong Polyphonic Normal University, Guangzhou, ChinaSchool of Computer, Guangdong University of Technology, Guangzhou, ChinaSchool of Computer, Guangdong University of Technology, Guangzhou, ChinaIndustrial cyber-physical system is defined as transformative technologies for upgrading the traditional industrial mode. Wireless mesh network becomes a typical technology in industrial cyber-physical system for the network communication with large-scale distributed wireless terminals. However, the robustness of wireless mesh networks in the industrial environment is seriously challenged by worst working reliability of network nodes, more vulnerable wireless communication links, and so on. In this article, in order to enhance network robustness and reliability, we propose a robust collaborative mesh networking method for interconnecting large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems. First, moderate redundancy of network deployment is introduced to guarantee two-connectivity for each mesh router and two-coverage for each wireless terminal, and an improved metric for evaluating the overall network robustness is presented. Second, the robustness-aware collaborative mesh networking problem is formulated with a multi-objective optimization model, and an improved multi-objective particle swarm optimization algorithm based on self-adaptive evolutionary learning is exploited to search out the Pareto optimal particles with better distribution and diversity. The experimental results show how the network robustness and load-balancing performance change along with the increasing number of deployed mesh router/mesh gateways, and our method is helpful for finding out a robust wireless mesh network deployment scheme in industrial cyber-physical systems when given a deployment cost.https://doi.org/10.1177/1550147717729640 |
| spellingShingle | Tao Wang Jun Liu Lianglun Cheng Hong Xiao Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems International Journal of Distributed Sensor Networks |
| title | Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems |
| title_full | Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems |
| title_fullStr | Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems |
| title_full_unstemmed | Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems |
| title_short | Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems |
| title_sort | robust collaborative mesh networking with large scale distributed wireless heterogeneous terminals in industrial cyber physical systems |
| url | https://doi.org/10.1177/1550147717729640 |
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