Genetic Algorithm-Aided Received Signal Strength Maximization in NLOS Visible Light Communication

Autor: Tahesin Samira Delwar, Abrar Siddique, Jee-Youl Ryu, Anindya Jana, Prasanta Kumar Pradhan
Rok vydání: 2021
Předmět:
Zdroj: Research in Intelligent and Computing in Engineering ISBN: 9789811575266
Popis: Visible light communication (VLC) is a subset of OWC. VLC deliberates line of sight (LOS) connections as well as different reflections from different paths. In a practical condition, LOS links could be affected due to the existence of the obstruction between LED transmitter and PD receiver. However, it is possible to create the wireless link in a non-line of sight (NLOS) scenario when the reflected light paths are present. Nevertheless, in terms of received signal strength indication (RSS), there is still a probability of demolishing the system performance. This paper presents a new and unique indoor visible light communication-based power maximization of received signal under the condition of NLOS. Based on a white light emitting diode, a photo-detector and evolutionary algorithm, genetic algorithm (GA) is a one type of evolutionary algorithm. In this paper, we have used GA which performs the maximization of the received power. Simulation result reflects the feasibility of the proposed methodology. The maximization of VLC-based power in NLOS condition can benefit smarter indoor communication in near-future VLC domain.
Databáze: OpenAIRE