Data-oriented mobile crowdsensing: A comprehensive survey
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 …
have been pervasively used all around the world. Their high penetration and powerful …
The emergence of visual crowdsensing: Challenges and opportunities
Visual crowdsensing (VCS), which leverages built-in cameras of smart devices to attain
informative and comprehensive sensing of interesting targets, has become a predominant …
informative and comprehensive sensing of interesting targets, has become a predominant …
CrowdHMT: crowd intelligence with the deep fusion of human, machine, and IoT
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 …
years. This article presents our vision of the next generation of MCSC, crowd intelligence …
Truthful incentive mechanisms for geographical position conflicting mobile crowdsensing systems
Sensor-embedded smartphones have become ubiquitous nowadays, further leveraging the
popularity of mobile crowdsensing. A mobile crowdsensing platform gathers sensory data …
popularity of mobile crowdsensing. A mobile crowdsensing platform gathers sensory data …
Expertise-aware truth analysis and task allocation in mobile crowdsourcing
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 …
Researchers have proposed techniques to identify truth from noisy data by inferring and …
Worker-contributed data utility measurement for visual crowdsensing systems
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 …
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
In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning
methods using augmented sparse recovery algorithms. These schemes render a sparse …
methods using augmented sparse recovery algorithms. These schemes render a sparse …
Ecological inference in empirical software engineering
Software systems are decomposed hierarchically, for example, into modules, packages and
files. This hierarchical decomposition has a profound influence on evolvability …
files. This hierarchical decomposition has a profound influence on evolvability …
A game-based incentive-driven offloading framework for dispersed computing
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 …
of fog/edge computing. However, these infrastructure-based service paradigms may fail to …
Photo crowdsourcing for area coverage in resource constrained environments
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 …
disaster recovery to obtain information about a target area. However, such applications often …