A Fiber-Wireless Monitoring System with a QoE Instrument for Smart Grid Technology

Smart Grid Technology such as isolated condition monitoring, synchro phasors, teleprotection, and asset regulation are just a few that require robust and rapid data transmission systems. To enable these Smart Grid technologies, a variety of communication architectures and technologies, such as Smart Sensor Channels (SSCs), fiber networks, wireless mobile networks, and others, have been proposed. The deployment of heterogeneous solutions is a desired architectural choice because it makes use of the advantages of multiple communication resources to satisfy the latency and durability requirements of the smart grid. Fi-WMSs, or Fiber-Wireless Monitoring Systems, are becoming more and more used in various applications as dependable communication backbones. This is a result of the distributed nature, high bandwidth availability, reliability, and low cost of optical fiber networks, as well as the low cost, dependability, and availability of SSCs. Despite having a reasonable delay performance, Fi-WSN systems would fail to meet the specifications set provided by the previously stated Smart Grid technologies. We provide an innovative cross-layer and adaptive maintenance classification technique for the Fi-WMSs in this study. The future methodology provides an adaptive arrangement scheme and reduces the latency for increased traffic with the help of the Optical Grid Unit (OGU) and SSCs. We assess how the suggested method affects end-to-end latency and dependability in terms of the quality of experience (QoE) of wait time smart grid remote sensors. Through simulations, We demonstrate how the Fi-WMS network and lengthy inactive fiber networks(LIFNs) can have less end-to-end delay thanks to our suggested QoE technique. We further demonstrate that, given identical network and traffic flows, our technique can outperform others.