A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
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 …
Personalized privacy-preserving task allocation for mobile crowdsensing
Location information of workers are usually required for optimal task allocation in mobile
crowdsensing, which however raises severe concerns of location privacy leakage. Although …
crowdsensing, which however raises severe concerns of location privacy leakage. Although …
Dynamic trust relationships aware data privacy protection in mobile crowd-sensing
Malicious network nodes often incur problems to network and data privacy by distributing
forged public keys. To address this issue, this paper proposes a dynamic trust relationships …
forged public keys. To address this issue, this paper proposes a dynamic trust relationships …
LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …
becomes possible and reliable, which makes it possible to mine useful and significant …
Location privacy-preserving task allocation for mobile crowdsensing with differential geo-obfuscation
In traditional mobile crowdsensing applications, organizers need participants' precise
locations for optimal task allocation, eg, minimizing selected workers' travel distance to task …
locations for optimal task allocation, eg, minimizing selected workers' travel distance to task …
OPAT: Optimized allocation of time-dependent tasks for mobile crowdsensing
Mobile crowdsensing (MCS) is an emerging paradigm that leverages pervasive smart
terminals equipped with various embedded sensors to collect sensory data for wide …
terminals equipped with various embedded sensors to collect sensory data for wide …
Multi-task allocation in mobile crowd sensing with individual task quality assurance
J Wang, Y Wang, D Zhang, F Wang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Task allocation is a fundamental research issue in mobile crowd sensing. While earlier
research focused mainly on single tasks, recent studies have started to investigate multi-task …
research focused mainly on single tasks, recent studies have started to investigate multi-task …
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
JJ Ji, YN Guo, XZ Gao, DW Gong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …
systems normally select the optimal participants giving no consideration to the sudden …
Task allocation in mobile crowd sensing: State-of-the-art and future opportunities
Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …
smartphones with various embedded sensors and user's mobility to sense diverse …