| Title | Signal Distribution Optimization for Cabin Visible Light Communications by Using Weighted Search Bat Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Yang, M., Wang, A., Sun, G., Liang, S., Zhang, J., Wang, F. |
| Conference Name | 2017 3rd IEEE International Conference on Computer and Communications (ICCC) |
| Keywords | bat algorithm, cabin communication, cabin visible light communication system, coverage optimization, free-space optical communication, genetic algorithm, genetic algorithms, high-quality network service, light emitting diodes, Metrics, nonoptimized signal distribution optimization, Optical filters, optical receivers, optical signals, optimal power adjustment factors, Optimization, particle swarm optimisation, particle swarm optimization, pubcrawl, resilience, Resiliency, Scalability, search problems, security, Signal to noise ratio, visible light communication, Visible Light Communications Security, VLC, weighted search bat algorithm, wireless LAN, wireless local area network, WSBA |
| Abstract | With increasing demand for travelling, high-quality network service is important to people in vehicle cabins. Visible light communication (VLC) system is more appropriate than wireless local area network considering the security, communication speed, and narrow shape of the cabin. However, VLC exhibits technical limitations, such as uneven distribution of optical signals. In this regard, we propose a novel weight search bat algorithm (WSBA) to calculate a set of optimal power adjustment factors to reduce fluctuation in signal distributions. Simulation results show that the fairness of signal distribution in the cabin optimized by WSBA is better than that of the non-optimized signal distribution. Moreover, the coverage rate of WSBA is higher than that of genetic algorithm and particle swarm optimization. |
| DOI | 10.1109/CompComm.2017.8322698 |
| Citation Key | yang_signal_2017 |
Signal Distribution Optimization for Cabin Visible Light Communications by Using Weighted Search Bat Algorithm