Comparative link-level analysis and performance estimation of channel models for IIoT (Industrial-IoT) wireless communications

Abstract

In the industrial scenarios, modern gadgets should communicate independently and in a robust and productive manner with one another, depending on an enormous degree on wireless communication channels, which will expand and enhance the current wired communication links. The wireless communication channels experience several channel impairments, for example, attenuation because of propagation losses, random fluctuations because of fading and shadowing impacts over the channel and the non-line-of-sight (NLOS) because of obstacles on the communication channel. Hence adequate channel modeling is necessary. Several pieces of research exist on channel models to model industrial environments, but a comprehensive analysis and measurement of their characteristics are still missing from the current literature. This paper has performed analyses and measurements on a vast number of wireless channel models applicable to the IIoT in terms of multiple analytical approaches in several sections of the paper. Performance estimation approaches, such as received signal strength, packet loss probability, and RMS (Root Mean Square) error, RMS delay spread are investigated with a focus on channel models and three prominent IoT technologies are also included. The research might be able to address the demand for adequate IIoT channel modeling with included channel models and all analytical approaches presented.