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Internet of Everything (IoE) has envisioned a hyper-connected ecosystem with billions of heterogeneous devices (sensors, smart phones, smart vehicles, unmanned aerial vehicle, wearable devices, etc.) connected via different kinds of access networks supported by the current technology such as 5G, mmWave, satellite communication, intelligent reflecting surface, SDN/ICN, etc. Currently, IoE systems have been applied in many modernized applications such as smart factories, health systems, smart cities, etc. However, due to the explosive increasing devices connected to IoE, the daily generated data from both the user side and the network side are increasing in a massive scale, which pose enormous stress on the IoE communication networks. On the other hand, since these massive data are delivered through the IoE communication networks, the energy consumption has also been emerged as a serious concern in IoE, especially for the devices with limited energy storage. Moreover, the emerging networking and computing technologies, such as artificial intelligence, edge computing, SDN/ICN, 5G, satellite communication, intelligent reflecting surface etc., are widely employed in the IoE systems to further improve the performance and providing more highly diversified services. These novel networking and computing technologies bring significant challenges to the sustainable issues in the IoE systems. Therefore, it is in high demand to pursue further research on intelligent, sustainable, and data-driven methods for sensing, computing, and networking in IoE systems with the above emerging networking and computing technologies.
The goal of this Special Issue is to offer a venue for researchers and developers from both academia and industry to discuss the advances in emerging intelligent, sustainable, and data-driven computing and networking for IoE systems. Contributions by the applications of health, transportation, manufacturing, city management, agriculture, environmental monitoring, which are within the context of energy-efficiency maximization and performance improvement in IoE systems, are also welcome. This special issue encourages submissions of high-quality unpublished and original works in both theoretical and experimental research. Relevant topics include, but are not limited to:
For author information and guidelines on submission criteria, please visit the OJ-CS Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.
Contact the guest editors at quan.c@gdut.edu.cn.
Guest Editors
