The future energy internet for utility energy service and demand-side management in smart grid: Current practices, challenges and future directions
The energy internet (EI) integrated with smart grid (SG) has been a growing and emerging
technology that manages and controls towards reliability, security, data integrity, demand …
technology that manages and controls towards reliability, security, data integrity, demand …
Survey on joint paradigm of 5G and SDN emerging mobile technologies: Architecture, security, challenges and research directions
Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …
innovative fronts concerning context consciousness in wireless networks. The main outcome …
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 …
Softcaching: A framework for caching node selection and routing in software-defined information centric internet of things
A considerable demand for Internet of Things (IoT) services is causing exponential growth in
Internet traffic. Software-Defined Networking (SDN) and Information-Centric Networking …
Internet traffic. Software-Defined Networking (SDN) and Information-Centric Networking …
Green grant-free power allocation for ultra-dense Internet of Things: A mean-field perspective
Grant-free access, in which each Internet-of-Things (IoT) device delivers its packets through
a randomly selected resource without spending time on handshaking procedures, is a …
a randomly selected resource without spending time on handshaking procedures, is a …
Blockchain-enabled trust management for secure content caching in mobile edge computing using deep reinforcement learning
Mobile edge computing (MEC) has introduced content edge caching to offload network
backhaul and improve user quality of experience by transferring frequently requested …
backhaul and improve user quality of experience by transferring frequently requested …
Distributed content placement in cache-enabled small cell networks in the presence of malicious users
Caching popular files at the edge of wireless networks has been proved to be an effective
strategy to reduce the content delivery delay and alleviate the backhaul congestion …
strategy to reduce the content delivery delay and alleviate the backhaul congestion …
Deep Learning and Blockchain-Driven Contract Theory: Alleviate Gender Bias in Construction
In the construction industry, the advent of teleoperation and robotic technologies is
revolutionizing traditional recruitment practices, introducing new criteria for identifying …
revolutionizing traditional recruitment practices, introducing new criteria for identifying …
Blockchain-inspired Incentive Mechanism for Trust-aware Offloading in Mobile Edge Computing
A Alioua, N Bouchemal, R Mati… - 2024 IEEE 49th …, 2024 - ieeexplore.ieee.org
This paper tackles the pressing concern of establishing trust within the context of Mobile
Edge Computing (MEC) to enhance security in task-offloading interactions. MEC's potential …
Edge Computing (MEC) to enhance security in task-offloading interactions. MEC's potential …
Revenue-Optimal Contract Design for Content Providers in IoT-Edge Caching
Edge caching is crucial in the Internet of Things (IoT) by accelerating content delivery and
reducing latency, offering significant advantages. However, inappropriate incentive …
reducing latency, offering significant advantages. However, inappropriate incentive …