Fault Tolerance Structures in Wireless Sensor Networks (WSNs): Survey, Classification, and Future Directions
The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
Cloud-fog automation: vision, enabling technologies, and future research directions
The Industry 4.0 digital transformation envisages future industrial systems to be fully
automated, including the control, upgrade, and configuration processes of a large number of …
automated, including the control, upgrade, and configuration processes of a large number of …
Cost-aware deployment of microservices for IoT applications in mobile edge computing environment
B Tang, F Guo, B Cao, M Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC) environment, service deployment for IoT application is a
key issue that needs to be solved. Considering the knowledge of mobile users' service …
key issue that needs to be solved. Considering the knowledge of mobile users' service …
Eidls: An edge-intelligence-based distributed learning system over internet of things
With the rapid development of wireless sensor networks (WSNs) and the Internet of Things
(IoT), increasing computing tasks are sinking to mobile edge networks, such as distributed …
(IoT), increasing computing tasks are sinking to mobile edge networks, such as distributed …
CMTSNN: A deep learning model for multi-classification of abnormal and encrypted traffic of Internet of Things
S Zhu, X Xu, H Gao, F Xiao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the increasing types and number of Internet of Things (IoT) devices and malicious
programs and the popularization of encryption technology in the communication process …
programs and the popularization of encryption technology in the communication process …
[HTML][HTML] Agile gravitational search algorithm for cyber-physical path-loss modelling in 5G connected autonomous vehicular network
Based on the characteristics of the 5 G standard defined in Release 17 by 3GPP and that of
the emerging Beyond 5 G (or the so-called 6 G) network, cyber-physical systems (CPSs) …
the emerging Beyond 5 G (or the so-called 6 G) network, cyber-physical systems (CPSs) …
SD-SRF: An Intelligent Service Deployment Scheme for Serverless-operated Cloud-Edge Computing in 6G Networks
With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …
business applications as a combination of stateless functions. Although originally proposed …
Complexity-driven cnn compression for resource-constrained edge ai
Recent advances in Artificial Intelligence (AI) on the Internet of Things (IoT)-enabled network
edge has realized edge intelligence in several applications such as smart agriculture, smart …
edge has realized edge intelligence in several applications such as smart agriculture, smart …
Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach
A Du, J Jia, J Chen, L Guo, X Wang - Computer Networks, 2024 - Elsevier
Mobile edge computing (MEC) integrated with the Network Functions Virtualization (NFV)
technique has been regarded as a promising solution for flexible services provision and …
technique has been regarded as a promising solution for flexible services provision and …