Task allocation in mobile crowd sensing: State-of-the-art and future opportunities
Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …
smartphones with various embedded sensors and user's mobility to sense diverse …
[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
Differential privacy-based blockchain for industrial internet-of-things
Contemporarily, two emerging techniques, blockchain and edge computing, are driving a
dramatical rapid growth in the field of Internet-of-Things (IoT). Benefits of applying edge …
dramatical rapid growth in the field of Internet-of-Things (IoT). Benefits of applying edge …
Resource allocation and trajectory optimization for QoE provisioning in energy-efficient UAV-enabled wireless networks
In the past several years, unmanned aerial vehicle (UAV) have been employed to provide
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
JJ Ji, YN Guo, XZ Gao, DW Gong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …
systems normally select the optimal participants giving no consideration to the sudden …
HyTasker: Hybrid task allocation in mobile crowd sensing
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task
allocation approaches follow either the opportunistic or participatory mode, this paper …
allocation approaches follow either the opportunistic or participatory mode, this paper …
CMAB-based reverse auction for unknown worker recruitment in mobile crowdsensing
M Xiao, B An, J Wang, G Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS), through which a requester can coordinate a crowd of workers
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
A UAV-assisted multi-task allocation method for mobile crowd sensing
Mobile crowd sensing (MCS) with human participants has been proposed as an efficient
way of collecting data for smart cities applications. However, there often exist situations …
way of collecting data for smart cities applications. However, there often exist situations …
From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
Towards personalized privacy-preserving incentive for truth discovery in mobile crowdsensing systems
Incentive mechanisms are essential for stimulating adequate worker participation to achieve
good truth discovery performance in mobile crowdsensing (MCS) systems. However, most of …
good truth discovery performance in mobile crowdsensing (MCS) systems. However, most of …