A Survey on the Concepts, Trends, Enabling Technologies, Architectures, Challenges and Open Issues in Cognitive IoT Based Smart Environments

Abstract

In many industrial applications, novel paradigms based on IoT services are evolving. However, today’s industrial systems are facing various challenges, due to heterogeneous, mixed and uncertain ubiquitous network, the application prospect of which is extensive in the field of modern intelligent service, and discrepancies between service offering and application requirement. In line to this, the researchers believed that existing technologies and approach specifically, IoT, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart industry developments. Therefore, the researchers argue that, with ambition to optimize the resource and infrastructures invested for smart industries, the Cognitive Internet of Things (CIoT) and its corresponding i the cognitive approaches, provide flexible and robust solution for such systems, enabling new level of adaptability and re-configurability in the system by self-X capabilities. In Light of this, the main objective of this paper, is to survey on concepts of Internet of Things based environments, and reviews the technologies, architectures/platforms, and trends in industries systems being cognitive and or smart. Afterward, we analyzed the research challenges and open issues and facilitate knowledge accumulation in efficiently in this field of Internet of Things (IoT) associated with industrial systems.