Augmented Multiagent DRL for Multi-Incentive Task Prioritization in Vehicular Crowdsensing
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DOI: 10.1109/jiot.2024.3446954
Abstract: Vehicular crowdsensing (VCS) within the social Internet of Vehicles (IoV) significantly advances urban transportation management by enhancing road safety, traffic efficiency, and the overall driving experience. This article presents an intelligent multiagent deep reinforcement learning… read more here.
Keywords: task; framework; vehicular crowdsensing; multi incentive ... See more keywords
A Lightweight Privacy-Preserving Scheme for Verifiable Multidimensional Data Aggregation in Vehicular Crowdsensing Networks
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DOI: 10.1109/jiot.2025.3601991
Abstract: In the context of vehicular crowdsensing (VCS) within the Internet of Vehicles (IoV), data aggregation techniques enable the computation and analysis of sensing data to extract valuable insights and improve transmission efficiency. However, sensing data… read more here.
Keywords: data aggregation; privacy preserving; vehicular crowdsensing; aggregation ... See more keywords
Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3014263
Abstract: Vehicular crowdsensing (VCS) takes the advantage of vehicles’ mobility and exploits both the crowd wisdom and sensing abilities offered by vehicle drivers’ carried smart mobile devices and on-board sensors to accomplish challenging sensing tasks. The… read more here.
Keywords: social aware; aware incentive; vehicular crowdsensing; deep reinforcement ... See more keywords
TRAMS: A Secure Vehicular Crowdsensing Scheme Based on Multi-Authority Attribute-Based Signature
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3117400
Abstract: Recently, vehicular crowdsensing networks have attracted much attention because of their ability to provide efficient and convenient information services for the Internet of Vehicles. How to achieve on-demand message authentication and provide privacy protection of… read more here.
Keywords: vehicular crowdsensing; based signature; multi authority; authority ... See more keywords
Blockchain-Enabled Conditional Decentralized Vehicular Crowdsensing System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3166216
Abstract: The rapid growth of connected and autonomous vehicles (CAVs) shows an urgent demand for driving and transportation-related data, which gives rise to vehicular crowdsensing systems (VCSs). Nevertheless, the existing centralized VCS framework mainly faces the… read more here.
Keywords: system; vehicular crowdsensing; conditional decentralized; blockchain enabled ... See more keywords
LSTAloc: A Driver-Oriented Incentive Mechanism for Mobility-on-Demand Vehicular Crowdsensing Market
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2023.3271671
Abstract: With the popularity of Mobility-on-Demand (MOD) vehicles, a new market called MOD-Vehicular-Crowdsensing (MOVE-CS) was introduced for drivers to earn more by collecting road data. Unfortunately, MOVE-CS failed after two years of operation. To identify the… read more here.
Keywords: driver oriented; market; oriented incentive; move ... See more keywords
Uncertainty-aware Cross-Graph Learning for Conflicting Data Truth Inference in Vehicular Crowdsensing
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DOI: 10.1109/tnse.2025.3620466
Abstract: Vehicular crowdsensing (VCS) has become an emerging paradigm that exploits various sensor-equipped vehicles to accomplish challenging sensing tasks. However, VCS usually provides conflicting information since source discrepancies, prompting truth inference as an essential tool for… read more here.
Keywords: inference; truth inference; vehicular crowdsensing; uncertainty aware ... See more keywords
Improved Recruitment Algorithms for Vehicular Crowdsensing Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2885403
Abstract: 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 to select participants within a crowdsensing network such… read more here.
Keywords: crowdsensing networks; recruitment algorithms; vehicular crowdsensing; algorithms vehicular ... See more keywords
Cost-and-Quality Aware Data Collection for Edge-Assisted Vehicular Crowdsensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3151859
Abstract: In view of the rapid development of edge computing and vehicular network, edge-assisted vehicular crowdsensing system has brought significant benefits to Intelligent Transportation Systems (ITS). To satisfy the requirements of ITS applications, a substantial number… read more here.
Keywords: vehicular crowdsensing; assisted vehicular; cost quality; edge assisted ... See more keywords
Predictive Recruitment in Vehicular Crowdsensing Based on Spatial Sensing Strength Analysis Method
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DOI: 10.1109/tvt.2023.3326686
Abstract: Vehicular crowdsensing is an efficient method of data collection in cities, benefiting from the powerful moving and sensing capabilities of intelligent vehicles. Modeling sensing capacities of vehicles and analyzing sensing effect based on sensor setup… read more here.
Keywords: method; recruitment; vehicular crowdsensing; spatial sensing ... See more keywords
Vehicular Crowdsensing with High-Mileage Vehicles: Investigating Spatiotemporal Coverage Dynamics in Historical Cities with Complex Urban Road Networks
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Advanced Transportation"
DOI: 10.1155/2023/8668473
Abstract: Background. Vehicular crowdsensing (VCS) can be a cost-effective solution to gather data in urban environments, leveraging the onboard sensors of modern vehicles moving around the city. Many experimental studies have proven that high-mileage vehicles, such… read more here.
Keywords: road; vehicular crowdsensing; road networks; urban road ... See more keywords