dc.contributor.author |
Osifeko, MO
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dc.contributor.author |
Hancke, GP
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2020-09-14T18:33:24Z |
|
dc.date.available |
2020-09-14T18:33:24Z |
|
dc.date.issued |
2020-04 |
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dc.identifier.citation |
Osifeko, 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, pp31 |
en_US |
dc.identifier.issn |
2224-2708 |
|
dc.identifier.uri |
https://www.mdpi.com/2224-2708/9/2/21
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|
dc.identifier.uri |
https://doi.org/10.3390/jsan9020021
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11576
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|
dc.description |
Copyright 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. |
en_US |
dc.description.abstract |
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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.relation.ispartofseries |
Workflow;23674 |
|
dc.subject |
Artificial Intelligence-based techniques |
en_US |
dc.subject |
Future Internet of Things |
en_US |
dc.subject |
Cognitive sensing |
en_US |
dc.subject |
Smart energy management |
en_US |
dc.subject |
Cognitive security |
en_US |
dc.subject |
Intelligent data collection |
en_US |
dc.title |
Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Osifeko, 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/10204/11576 |
en_ZA |
dc.identifier.chicagocitation |
Osifeko, 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/10204/11576 |
en_ZA |
dc.identifier.vancouvercitation |
Osifeko 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. |
en_ZA |
dc.identifier.ris |
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 -
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en_ZA |