Abstract:
Smart, secure and energy-e cient data collection (DC) processes are key to the realization
of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this
domain have motivated research e orts towards providing cognitive solutions for IoT usage. One such
solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive
inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart,
secure and energy-e cient data collection processes. In this article, we provide a survey of di erent
Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing
solutions for di erent FIoT applications. We present some state-of-the-art approaches, potentials,
and challenges of AI techniques for the identified solutions. This survey contributes to a better
understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research
directions in this regard.
