Load Balancing In Hybrid WIFI/ LIFI Networks Based on the RSSI of the Load Using Optimized KNN Clustering

Abstract

Light fidelity or LIF is a new emerging communication technology that works similar to the WIFI network but uses the light rays as a medium, its high speed and dense communicated data make it a promising technology to researchers, yet the physical attributes of the light bring new challenges to the scene, challenges such as light blockage and short range of coverage, in this paper, we aim at solving these issues by balancing the loads connected to the LIFI network using techniques inspired by the handover method in WIFI networks and clustering technique in wireless sensor network WSN, we use the KNN algorithm for its fast classification and decision making, making it a much faster clustering tool that the K-means algorithm and the Fuzzy C-means FCM, and we classify the loads into clusters based on their received signal strength indicator or RSSI, each access point or Aps being the center of that cluster.