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Crowdsensing in the Wild with Aliens and Micropayments
IEEE Pervasive Computing, 2016This article presents results and lessons learned from two user studies on crowdsensing incentives--specifically, on mobile gaming and micropayments. The analysis of the results suggests that gaming is a cost-effective solution for uniform area coverage, whereas micropayments work well for sensing tasks with tight time constraints or for long-term ...
Manoop Talasila +2 more
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Privacy-Preserving and Reliable Truth Discovery for Heterogeneous Fog-Based Crowdsensing
IEEE Transactions on Dependable and Secure ComputingTruth discovery is an effective technique for resolving data conflicts in crowdsensing. Fog-based mobile crowdsensing utilizes low-latency and high-efficiency communications capabilities of fog computing to achieve large-scale data sensing at a low cost.
Yihuai Liang, Yan Li, Byeong-Seok Shin
semanticscholar +1 more source
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
IEEE Communications Surveys and Tutorials, 2019 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 contribution from mobile devices of a large number of participants or a crowd ...
Andrea Capponi +2 more
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FlySensing: A case for crowdsensing in the air
2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014The volume of commercial flights and the number of passengers carrying one or more digital devices aboard presents an opportunity for innovative research for the application of crowdsensing in the air. This paper explores opportunities to leverage crowdsensing in the context of the commercial airline industry.
Osarieme Omokaro, Jamie Payton
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AoI-Guaranteed Incentive Mechanism for Mobile Crowdsensing With Freshness Concerns
IEEE Transactions on Mobile ComputingWith the explosive spread of smart mobile devices, Mobile CrowdSensing (MCS) has been becoming a promising paradigm, by which a platform can coordinate a group of workers to complete large-scale data collection tasks using their mobile devices.
Yin Xu +5 more
semanticscholar +1 more source
A Lyapunov Optimization Approach for Long-Term Task Assignment in Vehicular Crowdsensing
IEEE Transactions on Consumer ElectronicsVehicular crowdsensing has recently received considerable attention, due to its promising capability of collecting useful information for the Internet of Vehicles.
Xiumin Wang, Weijian Pan, Weiwei Wu
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Posted pricing for robust crowdsensing
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016Mobile crowdsensing has been considered as a promising approach for large scale urban data collection, but has also posed new challenging problems such as incentivization and quality control. Among the other incentivization approaches, posted pricing has been widely adopted by commercial systems due to the reason that it naturally achieves truthfulness
Kai Han 0003 +2 more
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Improving human interaction in crowdsensing
International Joint Conference on Autonomous Agents and Multiagent Systems, 2014We consider game theoretic aspects of crowdsensing projects. Commencing by studying putting effort in and sharing rewards from public projects,we continue to emotion-influenced interrelations in human society, including negotiations as a kind of such influence. These topics are also highly relevant to many applications apart from crowdsensing.
Gleb Polevoy, Mathijs de Weerdt
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Crowdsensing sub-populations in a region
Journal of Ambient Intelligence and Humanized Computing, 2018Crowdsensing refers to an approach for collecting of data from a large number of smart devices and sensors carried by many individuals and has been employed for numerous applications, which include pollution monitoring, traffic monitoring and noise sensing.
Robert Steele, Luis Gabriel Jaimes
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BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain
IEEE Transactions on Mobile ComputingMobile crowdsensing (MCS) can promote data acquisition and sharing among mobile devices. Traditional MCS platforms are based on a triangular structure consisting of three roles: data requester, worker (i.e., sensory data provider) and MCS platform ...
Junqin Huang +7 more
semanticscholar +1 more source