A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …
H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …
we program and interact with the world. Cloud computing and mobile computing are two …
Blockchain-enabled data collection and sharing for industrial IoT with deep reinforcement learning
With the rapid development of smart mobile terminals (MTs), various industrial Internet of
things (IIoT) applications can fully leverage them to collect and share data for providing …
things (IIoT) applications can fully leverage them to collect and share data for providing …
Incentive mechanism for horizontal federated learning based on reputation and reverse auction
Current research on federated learning mainly focuses on joint optimization, improving
efficiency and effectiveness, and protecting privacy. However, there are relatively few …
efficiency and effectiveness, and protecting privacy. However, there are relatively few …
Dynamic digital twin and distributed incentives for resource allocation in aerial-assisted internet of vehicles
Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles
with seamless connections and proximate computing services. The unpredictable network …
with seamless connections and proximate computing services. The unpredictable network …
When mobile crowd sensing meets UAV: Energy-efficient task assignment and route planning
With the increasing popularity of unmanned aerial vehicles (UAVs), it is foreseen that they
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …
Fmore: An incentive scheme of multi-dimensional auction for federated learning in mec
Promising federated learning coupled with Mobile Edge Computing (MEC) is considered as
one of the most promising solutions to the AI-driven service provision. Plenty of studies focus …
one of the most promising solutions to the AI-driven service provision. Plenty of studies focus …
Hybrid blockchain-based resource trading system for federated learning in edge computing
By training a machine learning algorithm across multiple decentralized edge nodes,
federated learning (FL) ensures the privacy of the data generated by the massive Internet-of …
federated learning (FL) ensures the privacy of the data generated by the massive Internet-of …
Auction mechanisms in cloud/fog computing resource allocation for public blockchain networks
As an emerging decentralized secure data management platform, blockchain has gained
much popularity recently. To maintain a canonical state of blockchain data record, proof-of …
much popularity recently. To maintain a canonical state of blockchain data record, proof-of …
Incentivizing differentially private federated learning: A multidimensional contract approach
Federated learning is a promising tool in the Internet-of-Things (IoT) domain for training a
machine learning model in a decentralized manner. Specifically, the data owners (eg, IoT …
machine learning model in a decentralized manner. Specifically, the data owners (eg, IoT …