Submission Deadline: 31 December 2022 (closed) View: 142
With the progressive development of internet technologies and service-oriented applications, Internet of Things (IoT) plays an increasingly important role in industry 4.0. The IoT technology, which can connect billions of intelligent IoT devices, focuses on the inter-networking of various physical sensors, objects and people. Besides, motivated by the ever-increasing number of service-oriented applications and the ever-growing computing and storage capabilities, many efforts have been made to leverage external computing and storage resources to offload IoT devices’ computations/data to ease their computation burden and energy consumption. Among them, mobile edge computing (MEC) is a promising paradigm that powers service-oriented applications with the aim to promote the performance of real-time IoT applications.
IoT applications in the MEC environment will generate an unprecedented volume of data. How to handle such enormous data in an efficient, economical and secure manner is a fundamental challenge. Artificial Intelligence (AI), which can process the data generated by IoT devices at the edge networks, provides a powerful tool to deal with the analytics of IoT data in the MEC environment. However, the application of AI techniques to IoT applications in the MEC environment has yet to be investigated and explored to achieve their full potentials. In addition, security and privacy problems are also in great demand of research efforts in order to guarantee the broad applications of IoT in the MEC environment where IoT data are generated and processed at the edge networks in a distributed manner.
This special issue aims to share and discuss the recent advances and future trends of Artificial Intelligence for IoT applications in the MEC environment.
The topics of interest include, but are not limited to:
l AI algorithms and theories for MEC in IoT
l AI-based solutions for big data applications
l Deep learning and online algorithms for energy efficient data sensing and processing in MEC
l Service-oriented computing and networking systems analysis, modeling, simulation and application in MEC
l Security, privacy and trust in MEC-based IoT applications
l Automatic business process and resource/workflow management in MEC
l IoT architecture, tools and applications for big data analytics
l Integration algorithms of embedded devices in smart homes, smart traffic monitoring, smart health, smart education and smart manufacturing
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