Smart handheld devices such as smartphones are capable of sensing and interacting with surrounding environments. This emerging capability of smartphones has resulted in the …
L Wang, Z Yu, Q Han, B Guo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid development of mobile networks and the proliferation of mobile devices, spatial crowdsourcing, which refers to recruiting mobile workers to perform location-based …
In this paper, we consider joint pricing and task allocation in a unified mobile crowdsensing system, where all task initiators and mobile users are viewed as peers. From an exchange …
Y Jing, B Guo, Z Wang, VOK Li… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
This paper proposes CrowdTracker, a novel object tracking system based on mobile crowd sensing (MCS). Different from traditional video-based object tracking approaches …
H Chen, B Guo, Z Yu, Q Han - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Traditionally, vehicle tracking is accomplished using predeployed video camera networks, which relies on stationary cameras and searches for the target vehicle from videos. In this …
On-demand delivery is a fast developing business where gig couriers deliver online orders within a short time from merchants to customers. Couriers' accurate indoor locations play an …
Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies …
C Zhao, S Yang, X Yang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Mobile Crowdsourcing is a promising service paradigm utilizing ubiquitous mobile devices to facilitate large-scale crowdsourcing tasks (eg, urban sensing and collaborative …
PP Chen, HL Sun, YL Fang, JP Huai - Journal of Computer Science and …, 2018 - Springer
In traditional crowdsourcing, workers are expected to provide independent answers to tasks so as to ensure the diversity of answers. However, recent studies show that the crowd is not …