TANTO: An effective trust-based unmanned aerial vehicle computing system for the Internet of Things
Large number of Internet of Things (IoT) devices deployed on demand to monitor
surroundings and offload computation-intensive tasks to edge servers, which favors low …
surroundings and offload computation-intensive tasks to edge servers, which favors low …
A decentralized trust inference approach with intelligence to improve data collection quality for mobile crowd sensing
Abstract Mobile Crowd Sensing (MCS) has been recognized as a promising param to
construct numerous applications by employing enormous workers to perceive and collect …
construct numerous applications by employing enormous workers to perceive and collect …
CITE: A content based trust evaluation scheme for data collection with Internet of Everything
Sensor–cloud system, as one of the vital components of the Internet of Everything, has
increasingly gained popularity since it bridges the physical and cyber worlds. In the smart …
increasingly gained popularity since it bridges the physical and cyber worlds. In the smart …
[HTML][HTML] UAV-supported intelligent truth discovery to achieve low-cost communications in mobile crowd sensing
Unmanned and aerial systems as interactors among different system components for
communications, have opened up great opportunities for truth data discovery in Mobile …
communications, have opened up great opportunities for truth data discovery in Mobile …
UWPEE: Using UAV and wavelet packet energy entropy to predict traffic-based attacks under limited communication, computing and caching for 6G wireless systems
The development of 6G has enhanced the communication capabilities of Internet of Things
(IoT) devices. However, in wireless system, due to cost constraints, only a few devices have …
(IoT) devices. However, in wireless system, due to cost constraints, only a few devices have …
Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach
B Qu, Y Bai, Y Chu, L Wang, F Yu, X Li - Computer networks, 2022 - Elsevier
Mobile edge computing (MEC) is an effective computing paradigm for mobile devices in the
5G era to reduce computing delay and energy consumption. However, in a multi-user …
5G era to reduce computing delay and energy consumption. However, in a multi-user …
Truthful and dual-direction combinatorial multi-armed bandit scheme to maximize profit for mobile crowd sensing
Nowadays, Mobile Crowd Sensing (MCS) has become a popular paradigm for large-scale
data collection using ubiquitous mobile sensing devices. However, most existing works do …
data collection using ubiquitous mobile sensing devices. However, most existing works do …
CRL-MABA: A Completion Rate Learning Based Accurate Data Collection Scheme in Large-Scale Energy Internet
The Energy Internet (EI) aims to build a sustainable energy ecosystem by connecting
diverse energy sources and prosumers. Mobile Crowd Sensing (MCS) enables efficient data …
diverse energy sources and prosumers. Mobile Crowd Sensing (MCS) enables efficient data …
UITDE: A UAV-assisted intelligent true data evaluation method for ubiquitous IoT systems in intelligent transportation of smart city
The emergency of intelligent transportation system provides new methods to monitor and
alleviate traffic problems by employing many Internet of Things (IoT) devices, namely …
alleviate traffic problems by employing many Internet of Things (IoT) devices, namely …
A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd
The recruitment of trustworthy and high-quality workers is an important research issue for
MCS. Previous studies either assume that the qualities of workers are known in advance, or …
MCS. Previous studies either assume that the qualities of workers are known in advance, or …