An area coverage algorithm for non-line-of-sight ultraviolet communication network

• Published in: Photonic network communications Vol. 32; no. 2; pp. 269 - 280
• Main Authors: Taifei, Zhao, Yingying, Gao, Ying, Zhang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2016; Springer Nature B.V
• Subjects: Algorithms; Characterization and Evaluation of Materials; Communication; Computer Communication Networks; Computer Science; Electrical Engineering; Genetic algorithms; Line of sight communication; Optimization; Performance measurement; Area coverage; Multi-hop networks; Non-line-of-sight (NLOS) propagation; Ultraviolet (UV); Genetic algorithms
• ISSN: 1387-974X; 1572-8188
• DOI: 10.1007/s11107-016-0622-7

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.