期刊
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
卷 83, 期 -, 页码 427-432出版社
ELSEVIER GMBH
DOI: 10.1016/j.aeue.2017.09.023
关键词
Average outage area ratio; Hyper-heuristic evolutionary algorithm; Indoor visible light communication system; Indoor mobility; Signal to noise ratio
The maximization of the system performance in a typical indoor visible light communication system is a major challenge while minimizing the overall resources for the deployment. The intelligent smart lighting systems can be optimized to reduce the requirement of various resources without compromising on the system performance. In this paper, we investigate the optimization of the light emitting diode (LED) resources within an indoor room scenario using a most efficient stochastic optimization technique-Hyper-heuristics evolutionary algorithm (HypEA). The performance of the communication system has been measured in terms of average area outage ratio, computational efficiency and mobility area analysis. The performance of the HypEA has been compared against the most experimented algorithm-Particle swarm optimization (PSO). The detailed investigation and analysis shows that HypEA is computationally more efficient and is able to achieve full mobility with almost 12.5 percent fewer resources as compared to PSO.
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