Data-oriented mobile crowdsensing: A comprehensive survey

Y Liu, L Kong, G Chen - IEEE communications surveys & …, 2019 - ieeexplore.ieee.org
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 …

The emergence of visual crowdsensing: Challenges and opportunities

B Guo, Q Han, H Chen, L Shangguan… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Visual crowdsensing (VCS), which leverages built-in cameras of smart devices to attain
informative and comprehensive sensing of interesting targets, has become a predominant …

CrowdHMT: crowd intelligence with the deep fusion of human, machine, and IoT

B Guo, Y Liu, S Liu, Z Yu, X Zhou - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Mobile crowd sensing and computing (MCSC) has become a hot research area in recent
years. This article presents our vision of the next generation of MCSC, crowd intelligence …

Truthful incentive mechanisms for geographical position conflicting mobile crowdsensing systems

J Li, Z Cai, J Wang, M Han, Y Li - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Sensor-embedded smartphones have become ubiquitous nowadays, further leveraging the
popularity of mobile crowdsensing. A mobile crowdsensing platform gathers sensory data …

Expertise-aware truth analysis and task allocation in mobile crowdsourcing

X Zhang, Y Wu, L Huang, H Ji… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In mobile crowdsourcing, the accuracy of the collected data is usually hard to ensure.
Researchers have proposed techniques to identify truth from noisy data by inferring and …

Worker-contributed data utility measurement for visual crowdsensing systems

B Guo, H Chen, Q Han, Z Yu, D Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Visual crowdsensing is successfully applied in numerous application areas, yet little work
has been done on measuring and improving the quality of worker contributed visual data …

A joint indoor WLAN localization and outlier detection scheme using LASSO and elastic-net optimization techniques

A Khalajmehrabadi, N Gatsis, DJ Pack… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning
methods using augmented sparse recovery algorithms. These schemes render a sparse …

Ecological inference in empirical software engineering

D Posnett, V Filkov, P Devanbu - 2011 26th IEEE/ACM …, 2011 - ieeexplore.ieee.org
Software systems are decomposed hierarchically, for example, into modules, packages and
files. This hierarchical decomposition has a profound influence on evolvability …

A game-based incentive-driven offloading framework for dispersed computing

H Wu, J Nie, Z **ong, Z Cai, T Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The popularization of smart Internet of Things (IoT) devices has facilitated the development
of fog/edge computing. However, these infrastructure-based service paradigms may fail to …

Photo crowdsourcing for area coverage in resource constrained environments

Y Wu, Y Wang, G Cao - IEEE INFOCOM 2017-IEEE Conference …, 2017 - ieeexplore.ieee.org
Photos crowdsourced from mobile devices can be used in many applications such as
disaster recovery to obtain information about a target area. However, such applications often …