A Framework for Selecting Optimal Network Protocols for IoT Technologies in Image and Vision-based Applications

Abstract

The growth of Internet-of-Things (IoT) technologies and the rapid advances in image- and video-based applications make it necessary to select the most appropriate network protocols that ensure reliable, efficient and robust system performance. This study presents a framework to help select appropriate network protocols for Narrowband IoT applications. This framework evaluates and compares the most popular wireless and wired IoT technologies, especially Narrowband IoT (NB -IoT) and 5G, based on their characteristics, strengths and limitations. The research considers factors such as latency, bandwidth, scalability, energy efficiency and reliability to determine the suitability of these protocols for each application area. This study investigated the performance of these technologies in different environments, including underwater, airborne and land environments. By providing a structured approach to selecting the optimal network protocol for specific applications, this study aims to streamline and improve the deployment and performance of IoT technologies in various industries.While this study offers comprehensive insights into the optimal selection of network protocols for various IoT applications, it primarily focuses on popular technologies and does not account for emerging technologies.

https://doi.org/10.59200/ICARTI.2023.002