Submission Deadline: 15 December 2019
IEEE Access invites manuscript submissions in the area of Intelligent and Cognitive Techniques for Internet of Things.
As a large-scale network to promote information in big data, Internet of Things (IoT) has been widely used in the fields of modern intelligent services such as ecological protection, intelligent homes, food safety, energy-saving and emission-reduction, logistics, transport, and national information coverage, etc. The development of related communication and networking technologies also provides strong technical support for the popularization of the IoT. However, due to the increasing demands of multiple users for efficient access to the massive and heterogeneous IoT information, improving the autonomous cognitive ability of IoT and realizing the intelligent information transmission and optimization processing have become urgent problems. Currently, the research on intelligent and cognitive IoT is at its initial stage. Although some intelligent algorithms and self-organization networking technologies for IoT have been proposed, there still exist some problems such as complex management, high maintenance cost and insufficient self-adaptability. Moreover, the traditional self-organization networking technology has been unable to fully adapt to a more complex transmission environment due to the lack of flexible self-management ability. Hence, existing IoT technologies needs to add intelligent elements and change from “perception” to “cognition” through combining IoT with cognitive methods. In cognitive IoT, the self-organization networking technology can use the group collaboration between nodes to accomplish the common mission, which reflects wisdom, distribution, and robustness of IoT. Cognitive IoT can improve the transmission performance through establishing dynamic routing, searching optimal transmission path adaptively and optimizing configuration of each node in the network. Cognitive IoT enables organizations to learn from data coming from connected devices, sensors, machines and other sources, and infuses intelligence into business operations, customer experiences, products and people.
Motivated by the above challenges, this Special Section in IEEE Access aims to capture the state-of-the-art advances in intelligent and cognitive techniques for Internet of Things and other related research. This Special Section will trigger new research interest in intelligent and cognitive concepts from both industry and academia, aiming to solve some challenging problems in the context of intelligent and cognitive techniques. Review papers on this topic are also welcome.
The topics of interest include, but are not limited to:
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Associate Editor: Min Jia, Harbin Institute of Technology, China
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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