A deep learning-based mobile crowdsensing scheme by predicting vehicle mobility

X Zhu, Y Luo, A Liu, W Tang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …

Incentive-aware recruitment of intelligent vehicles for edge-assisted mobile crowdsensing

L Liu, X Wen, L Wang, Z Lu, W Jing… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge-assisted mobile crowdsensing is an emerging paradigm where mobile users collect,
and share sensing data at the edge of networks. With the abundant on-board resources, and …

Reputation-aware, trajectory-based recruitment of smart vehicles for public sensing

S Abdelhamid, HS Hassanein… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the abundant on-board resources in smart vehicles, they have become major
candidates for providing ubiquitous services, including public sensing. One of the …

Improved recruitment algorithms for vehicular crowdsensing networks

F Campioni, S Choudhury, K Salomaa… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Vehicular crowdsensing aims to utilize the plethora of onboard sensors and resources on
smart vehicles to gather sensing data in a large coverage area. Recruitment algorithms aim …

Evenness-aware data collection for edge-assisted mobile crowdsensing in Internet of Vehicles

L Liu, Z Lu, L Wang, Y Chen, X Wen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Edge-assisted vehicular crowdsensing (EAVC) system is an emerging data collection
paradigm in Internet of Vehicles (IoV), where intelligent vehicles collaboratively perform …

Fast participant recruitment algorithm for large-scale vehicle-based mobile crowd sensing

K Yi, R Du, L Liu, Q Chen, K Gao - Pervasive and Mobile Computing, 2017 - Elsevier
Mobile crowd sensing has become an emerging computing and sensing paradigm that
recruits ordinary participants to perform sensing tasks. With the highly dynamic mobility …

A cost-efficient framework for crowdsourced data collection in vehicular networks

B Yin, J Lu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Vehicular networks, which are recognized as an innovative technology for information
collection due to the powerful sensing capability and strong mobility, have been an …

[HTML][HTML] Adaptive sampling for urban air quality through participatory sensing

Y Zeng, K Xiang - Sensors, 2017 - mdpi.com
Air pollution is one of the major problems of the modern world. The popularization and
powerful functions of smartphone applications enable people to participate in urban sensing …

Autonomous identification and optimal selection of popular smart vehicles for urban sensing—An information-centric approach

JA Khan, Y Ghamri-Doudane… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Today, vehicles are becoming powerful sensor platforms capable of collecting, storing, and
sharing large amounts of sensory data by constant monitoring of urban streets. It is quite …

An empirical study on coverage-ensured automotive sensing using door-to-door garbage collecting trucks

Y Chen, J Nakazawa, T Yonezawa… - Proceedings of the 2nd …, 2016 - dl.acm.org
Due to the advance in information and communication technologies, smart cities have
become an increasingly appealing vision. One indispensable basis in the research …