Abstract
At present, the technology of the Internet of Things (IoT) helps to improve the usage of common appliances through the Internet as a medium to enhance our lives. In IoT communication, researchers have brought out security challenges for reliable data transmission of the wearable sensor devices and minimized energy utilization among IoT devices as primary issues need to be addressed. As IoT devices unable to meet the demands of the scarcity of security and more energy utilization during data transmission in a network or among wearable sensors, Cognitive IoT (CIoT) has been introduced to meet and address these demands along with hybridized Interference bounded Intuitive Splitting (HIBJS) algorithm. This intelligent algorithm with optimized policy control strategies splits the time and power to improve the data transmission speed of the wearable sensor devices with more reliability and less energy consumption than the traditional algorithms which are utilized in practice. The experimental and numerical results show that the proposed HIBJS approach has more effective performance in terms of energy consumption, data transmission speed of wearable devices, error rate, accuracy and average signal to noise ratio (SNR) than traditional algorithms. This research focuses to improve the CIoT as a smart information system for users in smart environments using HIBJS.