Enhance Quality of Services in Internet of Things using Improved Dynamic Bandwidth Allocation (IDBA) Techniques

The Internet of Things (IoT) is a frequently employed term in the twenty-first century. It is an important part of the Industrial 4.0 revolution and has garnered industrial traction. By 2030, there will be approximately 50 billion Internet of Things devices, according to many projections. Some countries will expand around two-thirds of these IoT devices on their own. Numerous Internet of things or IoT issues might arise from inadequate computing power and broadband availability. These issues include low power, security, and heterogeneity. It will be challenging to provide bandwidth to billions of Internet of things devices with the current infrastructure. The Improved Dynamic Bandwidth Allocation (IDBA) techniques solves this issue by improving the quality of service (Qos) in IoT devices and providing a steady bandwidth supply. The IDBA algorithm is fed a dataset of IoT bandwidth from smart home-based devices. Based on the degree of use, data sets from different IoT devices will be collected. To improve service quality, dynamic bandwidth allocation and machine learning are employed. In terms of specific metrics like time delay, accuracy, precision, recall, and other parameters the result is superior.