Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
A comprehensive survey on mobile crowdsensing systems
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …
and emerged as a promising sensing paradigm. The MCS approach leverages the …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …
volumes of data explosion. The generated data is collected and shared using edge-based …
POTA: Privacy-preserving online multi-task assignment with path planning
Privacy-preserving online multi-task assignment is a crucial aspect of spatial crowdsensing
on untrusted platforms, where multiple real-time tasks are allocated to appropriate workers …
on untrusted platforms, where multiple real-time tasks are allocated to appropriate workers …
A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing
With the rise of the Internet of Things (IoT) and fifth‐generation (5G) networks, which have
led to a surge in data processing and increased data transfer time, traditional cloud …
led to a surge in data processing and increased data transfer time, traditional cloud …
An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …
devices provides an economic and efficient solution to participation in coordinated large …
An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …
computing capabilities increases dramatically, paving the way toward an emerging …
Joint sensing, communication, and computation in mobile crowdsensing enabled edge networks
Mobile crowdsensing (MCS) is a promising paradigm where sensor-embedded mobile
devices are exploited for collecting and sharing environmental data. In MCS, the …
devices are exploited for collecting and sharing environmental data. In MCS, the …