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 …
[HTML][HTML] Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
CMAB-based reverse auction for unknown worker recruitment in mobile crowdsensing
M Xiao, B An, J Wang, G Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS), through which a requester can coordinate a crowd of workers
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
CrowdBLPS: A blockchain-based location-privacy-preserving mobile crowdsensing system
With the popularization of intelligent terminals, especially current trends, such as “Industrie
4.0” and the Internet of Things, mobile crowdsensing is becoming one of the promising …
4.0” and the Internet of Things, mobile crowdsensing is becoming one of the promising …
OCD: Online crowdsourced delivery for on-demand food
Online-to-offline (O2O) commerce connecting service providers and individuals to address
daily human needs is quickly expanding. In particular, on-demand food, whereby food …
daily human needs is quickly expanding. In particular, on-demand food, whereby food …
Machine learning in mobile crowd sourcing: A behavior-based recruitment model
With the advent of mobile crowd sourcing (MCS) systems and its applications, the selection
of the right crowd is gaining utmost importance. The increasing variability in the context of …
of the right crowd is gaining utmost importance. The increasing variability in the context of …
SDLSC-TA: Subarea division learning based task allocation in sparse mobile crowdsensing
X Wei, Z Li, Y Liu, S Gao, H Yue - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sparse mobile crowdsensing (Sparse MCS), a new paradigm for large-scale fine-grained
urban monitoring applications, collects sensing data from relatively few areas and infers …
urban monitoring applications, collects sensing data from relatively few areas and infers …
[HTML][HTML] Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
Effectively monitoring urban air quality, and analyzing the source terms of the main
atmospheric pollutants is important for public authorities to take air quality management …
atmospheric pollutants is important for public authorities to take air quality management …
A survey of task allocation: contrastive perspectives from wireless sensor networks and mobile crowdsensing
Wireless sensor networks (WSNs) and mobile crowdsensing (MCS) are two important
paradigms in urban dynamic sensing. In both sensing paradigms, task allocation is a …
paradigms in urban dynamic sensing. In both sensing paradigms, task allocation is a …
Addictive incentive mechanism in crowdsensing from the perspective of behavioral economics
J Liu, S Huang, D Li, S Wen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In mobile crowdsensing, many mobile devices are collectively used to complete complex
sensing tasks. Most tasks require users to consume resources to ensure continuous …
sensing tasks. Most tasks require users to consume resources to ensure continuous …