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IEEE Communications Magazine, 2014 With the rapid proliferation of sensor-rich smartphones, mobile crowd sensing has become a popular research field. In this article, we propose a four-stage life cycle (i.e., task creation, task assignment, individual task execution, and crowd data integration) to characterize the mobile crowd sensing process, and use 4W1H (i.e., what, when, where, who,
Bin Guo, Haoyi Xiong, Leye Wang
exaly +3 more sources
Compressive sensing based data quality improvement for crowd-sensing applications
Journal of Network and Computer Applications, 2017 Crowd-sensing enables to collect a vast amount of data from the crowd by allowing a wide variety of sources to contribute data. However, the openness of crowd-sensing exposes the system to malicious and erroneous participations, inevitably resulting in ...
Linghe Kong, Sajal K. Das, Chengwen Luo
exaly +2 more sources
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IEEE Transactions on Intelligent Vehicles, 2023
As an emerging paradigm for urban sensing, vehicular crowd sensing (VCS) has received increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages ubiquitous connected vehicles (CVs) and diverse onboard sensors to efficiently
Yi-Long Ren +5 more
semanticscholar +1 more source
As an emerging paradigm for urban sensing, vehicular crowd sensing (VCS) has received increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages ubiquitous connected vehicles (CVs) and diverse onboard sensors to efficiently
Yi-Long Ren +5 more
semanticscholar +1 more source
SafeCity: A Heterogeneous Mobile Crowd Sensing System for Urban Public Safety
IEEE Internet of Things Journal, 2023As important indicators of urban public safety, public safety and environmental security (PSES) is related to residents’ living security and greatly affects their quality of life and happiness index.
Yi-Meng Liu +4 more
semanticscholar +1 more source
Quality-Aware Incentive Mechanism for Social Mobile Crowd Sensing
IEEE Communications Letters, 2023The mobile crowd sensing perception paradigm relies on the participation of generous users, and an appropriate incentive mechanism can promote the participation of more users.
Hongjie Gao +3 more
semanticscholar +1 more source
Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages
IEEE Transactions on Intelligent Vehicles, 2023The construction of transportation 5.0 or the so-called society-centered intelligent transportation systems (ITS) has aroused higher requirements for the intelligent sensing capability to seamlessly integrate Cyber-Physical-Social Systems (CPSS).
Yong Zhao +6 more
semanticscholar +1 more source
IEEE Internet of Things Journal, 2023
An emergency medical vehicle can save the patient’s life if it arrives at his location as quickly as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them a viable choice for smart cities and intelligent transportation
K. Rezaee +6 more
semanticscholar +1 more source
An emergency medical vehicle can save the patient’s life if it arrives at his location as quickly as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them a viable choice for smart cities and intelligent transportation
K. Rezaee +6 more
semanticscholar +1 more source
A Trust-Driven Contract Incentive Scheme for Mobile Crowd-Sensing Networks
IEEE Transactions on Vehicular Technology, 2022By leveraging the power of crowd, the prevalence of mobile devices in mobile crowd-sensing (MCS) networks helps and provides a wide range of sensing services through collecting and sharing sensing data.
Minghui Dai +4 more
semanticscholar +1 more source
IEEE Transactions on Mobile Computing, 2023
With the enrichment of types and numbers of sensing terminals, more and more devices such as mobile phones, smart wearables, mobile robots, drones have appeared in our life, enabling the development of Mobile Crowd Sensing (MCS) technology.
Yi-Meng Liu +5 more
semanticscholar +1 more source
With the enrichment of types and numbers of sensing terminals, more and more devices such as mobile phones, smart wearables, mobile robots, drones have appeared in our life, enabling the development of Mobile Crowd Sensing (MCS) technology.
Yi-Meng Liu +5 more
semanticscholar +1 more source