基于优化KNN聚类负载RSSI的WIFI/ LIFI混合网络负载均衡

M. Ahmed, Ali Alkahrsan, M. Ilyas
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引用次数: 2

摘要

光保真(Light fidelity,简称LIF)是一种新兴的通信技术,其工作原理类似于WIFI网络,但以光线为媒介,其高速和密集的通信数据使其成为研究人员的一种很有前途的技术,但光的物理属性给场景带来了新的挑战,如光阻塞和覆盖范围短。我们的目标是通过使用受WIFI网络切换方法和无线传感器网络WSN聚类技术启发的技术来平衡连接到LIFI网络的负载来解决这些问题,我们使用KNN算法进行快速分类和决策,使其成为比K-means算法和模糊C-means FCM更快的聚类工具,我们根据负载的接收信号强度指标或RSSI将负载分类成簇。每个接入点或ap都是集群的中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load Balancing In Hybrid WIFI/ LIFI Networks Based on the RSSI of the Load Using Optimized KNN Clustering
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.
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