A survey on task assignment in crowdsourcing
Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …
both for research and industry applications. A popular and broadly applicable method is task …
A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things
J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …
approach incorporating human wisdom into mobile computations to solve problems while …
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 …
Quality-aware user recruitment based on federated learning in mobile crowd sensing
W Zhang, Z Li, X Chen - Tsinghua Science and Technology, 2021 - ieeexplore.ieee.org
With the rapid development of mobile devices, the use of Mobile Crowd Sensing (MCS)
mode has become popular to complete more intelligent and complex sensing tasks …
mode has become popular to complete more intelligent and complex sensing tasks …
A prediction-based user selection framework for heterogeneous mobile crowdsensing
Mobile CrowdSensing is a new paradigm in which requesters launch tasks to the mobile
users who provide the sensing services. The tasks, in practice, are usually heterogeneous …
users who provide the sensing services. The tasks, in practice, are usually heterogeneous …
A cost-effective distributed framework for data collection in cloud-based mobile crowd sensing architectures
Mobile crowd sensing received significant attention in the recent years and has become a
popular paradigm for sensing. It operates relying on the rich set of built-in sensors equipped …
popular paradigm for sensing. It operates relying on the rich set of built-in sensors equipped …
Harnessing context for budget-limited crowdsensing with massive uncertain workers
Crowdsensing is an emerging paradigm of ubiquitous sensing, through which a crowd of
workers are recruited to perform sensing tasks collaboratively. Although it has stimulated …
workers are recruited to perform sensing tasks collaboratively. Although it has stimulated …
Sociability-driven framework for data acquisition in mobile crowdsensing over fog computing platforms for smart cities
Smart cities exploit the most advanced information technologies to improve and add value to
existing public services. Having citizens involved in the process through mobile …
existing public services. Having citizens involved in the process through mobile …
Context-aware computing for mobile crowd sensing: A survey
H Vahdat-Nejad, E Asani, Z Mahmoodian… - Future Generation …, 2019 - Elsevier
Today, the distribution of people with smart mobile devices has provided the opportunity for
mobile crowd sensing. Several mobile crowd sensing systems have led to the collection of …
mobile crowd sensing. Several mobile crowd sensing systems have led to the collection of …
The Curse of Sensing: Survey of techniques and challenges to cope with sparse and dense data in mobile crowd sensing for Internet of Things
In this paper we present a survey on mobile crowdsensing (MCS) techniques that have been
developed to address the Curse of Sensing problem ie propensity of MCS applications to …
developed to address the Curse of Sensing problem ie propensity of MCS applications to …