Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges

Osifeko, MOHancke, GPAbu-Mahfouz, Adnan MI2020-09-142020-09-142020-04Osifeko, M.O., Hancke, G.P. & Abu-Mahfouz, A.M.I. 2020. Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges. Journal of Sensor and Actuator Networks, vol. 9, no. 21, pp312224-2708https://www.mdpi.com/2224-2708/9/2/21https://doi.org/10.3390/jsan9020021http://hdl.handle.net/10204/11576Copyright 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Smart, secure and energy-efficient 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 efforts 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-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different 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.enArtificial Intelligence-based techniquesFuture Internet of ThingsCognitive sensingSmart energy managementCognitive securityIntelligent data collectionArtificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challengesArticleOsifeko, M., Hancke, G., & Abu-Mahfouz, A. M. (2020). Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges. http://hdl.handle.net/10204/11576Osifeko, MO, GP Hancke, and Adnan MI Abu-Mahfouz "Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges." (2020) http://hdl.handle.net/10204/11576Osifeko M, Hancke G, Abu-Mahfouz AM. Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges. 2020; http://hdl.handle.net/10204/11576.TY - Article AU - Osifeko, MO AU - Hancke, GP AU - Abu-Mahfouz, Adnan MI AB - Smart, secure and energy-efficient 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 efforts 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-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different 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. DA - 2020-04 DB - ResearchSpace DP - CSIR KW - Artificial Intelligence-based techniques KW - Future Internet of Things KW - Cognitive sensing KW - Smart energy management KW - Cognitive security KW - Intelligent data collection LK - https://researchspace.csir.co.za PY - 2020 SM - 2224-2708 T1 - Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges TI - Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges UR - http://hdl.handle.net/10204/11576 ER -