Internet of Things: A Review on Major Challenges and Applications

Internet of Things has created high opportunities for industries to enhance their manufacturing, servicing and supplying capabilities. Industrial Internet of Things (IIoT) will add innovation and smartness in industrial capabilities. Internet of Things helps the industry to generate the critical and decidedly big data. Generated big data will be analyzed by various data mining algorithms and will generate knowledge out of data. Generated knowledge will create smooth decision making for smart machines by machine learning. Radio frequency identification (RFID) and a quick response code (QR code)-based object tagging has created an easy identification environment for various things in the industry. Most security algorithms are implemented in the Industrial Internet of Things for the purpose of authentication and access control mechanism. IoT has created revolution in the healthcare industry, in terms of data availability and analytics. Similarly, many IoT devices and IoT-based services are implemented in various industries for their day-to-day tasks. In this paper, we have studied various recent applications of IoT in industry in terms of machine learning, security, and services and challenges faced by industries in the deployment of IoT-based services. Mainly, this paper will summarize the current state of an Industrial Internet of Things in a systematic manner and rate of data stream by sliding window and tumbling window, respectively.