Incentive techniques for the internet of things: a survey
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …
realize a wide range of newly emerging services and applications empowered by the …
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 …
Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
Federated learning is an emerging machine learning technique that enables distributed
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
Source selection and resource allocation in wireless powered relay networks: an adaptive dynamic programming based approach
This article considers a two-hop wireless-powered relay network consisting of multiple
sources, multiple destinations, and one relay. The relay can receive energy from the sources …
sources, multiple destinations, and one relay. The relay can receive energy from the sources …
Federated learning in vehicular edge computing: A selective model aggregation approach
Federated learning is a newly emerged distributed machine learning paradigm, where the
clients are allowed to individually train local deep neural network (DNN) models with local …
clients are allowed to individually train local deep neural network (DNN) models with local …
Toward secure blockchain-enabled internet of vehicles: Optimizing consensus management using reputation and contract theory
In the Internet of Vehicles (IoV), data sharing among vehicles is critical for improving driving
safety and enhancing vehicular services. To ensure security and traceability of data sharing …
safety and enhancing vehicular services. To ensure security and traceability of data sharing …
Incentive design for efficient federated learning in mobile networks: A contract theory approach
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory
Approach Page 1 1 Incentive Design for Efficient Federated Learning in Mobile Networks: A …
Approach Page 1 1 Incentive Design for Efficient Federated Learning in Mobile Networks: A …
[HTML][HTML] Powering nodes of wireless sensor networks with energy harvesters for intelligent buildings: A review
Intelligent buildings play a fundamental role in achieving efficient energy management in the
building sector in many countries worldwide. Improving energy consumption within a …
building sector in many countries worldwide. Improving energy consumption within a …
Blockchain-empowered federated learning for healthcare metaverses: User-centric incentive mechanism with optimal data freshness
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a
transformative force, creating intelligent healthcare systems that offer immersive and …
transformative force, creating intelligent healthcare systems that offer immersive and …
Wireless-powered over-the-air computation in intelligent reflecting surface-aided IoT networks
Fast wireless data aggregation and efficient battery recharging are two critical design
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …