An Integrated Work Implemented In IoT Using Software Defined Network: A Review

The COVID-19 pandemic has impacted the industrial ecosystem in various sectors like education, IT-companies, healthcare and many more to an unprecedented degree due to large-scale contact restrictions. Therefore, since the beginning of the outbreak, there has been significant intervention in production and socio-economic processes that require human involvement. The result is due to online activities like work from home, online entertainment platforms, online business (e-commerce) etc are increasing Internet traffic drastically. Our research aims to examine the integration of the most innovative networking research area that the development of Internet of Things (IoT) application using software-defined networks (SDN). Software-Defined Networking (SDN) is networking approach that utilizes software-based controllers or application programming interfaces to communicate with the hardware infrastructure underneath. Infrastructure is the key distinction between SDN and traditional networking. Traditional networking is hardware-based while SDN is software-based, leading to greater flexibility. Administrators have the ability to manage the network, modify configuration settings, provide resources, and increase network capacity � using a centralized user interface; all functionality is available without the need for additional hardware. The Internet of Things (IoT) is a forthcoming technology that is rapidly gaining industry and research attention. Currently, there are more than 50 billion devices connected to the Internet, and this number is expected to increase to 75 billion by 2025. The data generated by these IoT devices is enormous, leading to resource allocation, flow management, and security risks in IoT networks. In this SLR, we covered the basics of SDN, different studies which provide SDN based solutions for IoT technologies, IoT applications using SDN, and various challenges encountered when implementing IoT applications using SDN.