Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
The sensable city: A survey on the deployment and management for smart city monitoring
In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …
environments, toward the realization of the so called smart cities. Such systems are based …
FRUIT: A blockchain-based efficient and privacy-preserving quality-aware incentive scheme
Incentive plays an important role in knowledge discovery, as it impels users to provide high-
quality knowledge. To promise incentive schemes with transparency, blockchain technology …
quality knowledge. To promise incentive schemes with transparency, blockchain technology …
Joint communication, computation, caching, and control in big data multi-access edge computing
The concept of Multi-access Edge Computing (MEC) has been recently introduced to
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …
Zebralancer: Private and anonymous crowdsourcing system atop open blockchain
We design and implement the first private and anonymous decentralized crowdsourcing
system ZebraLancer, and overcome two fundamental challenges of decentralizing …
system ZebraLancer, and overcome two fundamental challenges of decentralizing …
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 …
Deep reinforcement learning for partially observable data poisoning attack in crowdsensing systems
M Li, Y Sun, H Lu, S Maharjan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Crowdsensing systems collect various types of data from sensors embedded on mobile
devices owned by individuals. These individuals are commonly referred to as workers that …
devices owned by individuals. These individuals are commonly referred to as workers that …
Data-oriented mobile crowdsensing: A comprehensive survey
Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …
have been pervasively used all around the world. Their high penetration and powerful …
Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
Emerging wireless sensor networks and Internet of Things technologies—Foundations of smart healthcare
Future smart healthcare systems—often referred to as Internet of Medical Things (IoMT)–will
combine a plethora of wireless devices and applications that use wireless communication …
combine a plethora of wireless devices and applications that use wireless communication …