An area coverage algorithm for non-line-of-sight ultraviolet communication network
The non-line-of-sight ultraviolet (UV) communication can be applied in certain circumstances. In this paper, a graded area coverage optimization algorithm based on genetic algorithm (GACOA) is proposed to reduce the deployment cost of network and enhance the area coverage of network. Firstly, the si...
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| Published in | Photonic network communications Vol. 32; no. 2; pp. 269 - 280 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.10.2016
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1387-974X 1572-8188 |
| DOI | 10.1007/s11107-016-0622-7 |
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| Abstract | The non-line-of-sight ultraviolet (UV) communication can be applied in certain circumstances. In this paper, a graded area coverage optimization algorithm based on genetic algorithm (GACOA) is proposed to reduce the deployment cost of network and enhance the area coverage of network. Firstly, the simulation results show that the GACOA approach can improve the coverage ratio and save the deployment cost. Then, the performance of GACOA with different communication angles and number of nodes is simulated and analyzed. When the GACOA, PFCEA, and CSRCA are applied in the UV network, the performance metrics of GACOA are better than that of PFCEA and CSRCA in the same UV network. Therefore, the deployment of the UV network can be completed efficiently with a low deployment cost. |
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| AbstractList | The non-line-of-sight ultraviolet (UV) communication can be applied in certain circumstances. In this paper, a graded area coverage optimization algorithm based on genetic algorithm (GACOA) is proposed to reduce the deployment cost of network and enhance the area coverage of network. Firstly, the simulation results show that the GACOA approach can improve the coverage ratio and save the deployment cost. Then, the performance of GACOA with different communication angles and number of nodes is simulated and analyzed. When the GACOA, PFCEA, and CSRCA are applied in the UV network, the performance metrics of GACOA are better than that of PFCEA and CSRCA in the same UV network. Therefore, the deployment of the UV network can be completed efficiently with a low deployment cost. |
| Author | Yingying, Gao Taifei, Zhao Ying, Zhang |
| Author_xml | – sequence: 1 givenname: Zhao surname: Taifei fullname: Taifei, Zhao email: year623@163.com, zhaotaifei@163.com organization: Faculty of Automation and Information Engineering, Xi’an University of Technology – sequence: 2 givenname: Gao surname: Yingying fullname: Yingying, Gao organization: Faculty of Automation and Information Engineering, Xi’an University of Technology – sequence: 3 givenname: Zhang surname: Ying fullname: Ying, Zhang organization: Faculty of Automation and Information Engineering, Xi’an University of Technology |
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| Keywords | Area coverage Multi-hop networks Non-line-of-sight (NLOS) propagation Ultraviolet (UV) Genetic algorithms |
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| SubjectTerms | Algorithms Characterization and Evaluation of Materials Communication Computer Communication Networks Computer Science Electrical Engineering Genetic algorithms Line of sight communication Optimization Performance measurement |
| Title | An area coverage algorithm for non-line-of-sight ultraviolet communication network |
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