Clustering Protocols and Algorithms for IoT and IIoT Using Artificial Intelligence: Review, Classifications and Challenges

Now a day most of the electronic gadgets are evolving towards the forthcoming technology such as Internet of Things (IoT) and as well as the Industrial Internet of Things (IIoT). We required efficient process techniques to transform the IoT data. In this regards the Clustering algorithms are more helpful in gathering and formulation of data in a structured form. In this survey article, we present a classification and challenges of clustering protocols things will become more reliable and smarter with the development of technologies that will allow them to act in an autonomous way. In the suggested work, we focuson the adaptive clustering algorithms for smart city services, intelligent building management and factory automation. The Internet of things devices plays a pivotal role in the transmit sensed data to the host in real time manner. To reduce the number of internet connection, instead of the data transmission. By configuring the IoT networks in this way the energy utilization of the sensor is decreased. The main intention of this article is to minimize the transmission time delay between the cluster head to nodes, as well as the optimization with minimal cost. It is more helpful in the autonomy based systems. This case study provides unambiguous review on clustering protocols and algorithms, specifically for IoT and IIoT.