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Deep-Reinforcement-Learning-Based Contract Incentive Mechanism for Joint Sensing and Computation in Mobile Crowdsourcing Networks

IEEE Internet of Things Journal
Mobile crowdsourcing network is a promising paradigm to leverage mobile users (MUs) to perform large-scale sensing task. Due to limited sensing-computation resource and data security risk, it is necessary to design an efficient incentive mechanism to ...
Nan Zhao   +3 more
semanticscholar   +1 more source

Bilateral Privacy Protection Scheme Based on Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing

IEEE Internet of Things Journal
In mobile crowdsourcing (MCS), the task information released by task publishers and the sensed data submitted by workers may expose their privacy, while the rapid growth of MCS imposes increasing data processing pressure on cloud platforms and mobile ...
Xuelei Sun   +5 more
semanticscholar   +1 more source

Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment

IEEE Transactions on Computational Social Systems
Mobile crowdsourcing (MCS) is a new paradigm that uses various mobile devices to collect sensed data. Mobile edge computing (MEC) can effectively utilize the device resources of mobile edge, greatly relieve the pressure of network bandwidth and improve ...
Ying Zhao   +6 more
semanticscholar   +1 more source

Workshop on mobile and situated crowdsourcing

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, 2015
Crowdsourcing beyond the desktop is increasingly attracting interest due to the rapid proliferation of smart phones and other ubiquitous technologies, such as public displays. This workshop seeks to investigate the current state of the art of mobile and situated crowdsourcing by bringing together researchers of this thriving research agenda.
Jorge Goncalves   +4 more
openaire   +1 more source

Optimizing Worker Selection in Collaborative Mobile Crowdsourcing

IEEE Internet of Things Journal
Mobile crowdsourcing (MCS) is a promising way to monitor urban-scale data by leveraging the crowds’ power and has attracted much attention recently. How to recruit suitable workers for requesters to perform the published sensing tasks is always a crucial
Xingjian Ding   +3 more
semanticscholar   +1 more source

“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing Tasks

International Conference on Human Factors in Computing Systems, 2021
Using a mixed-methods approach over six weeks, we studied 30 smartphone users’ task choices, task execution and effort devoted to two commercial mobile crowdsourcing platforms in the wild.
Chia-En Chiang   +7 more
semanticscholar   +1 more source

Behavior Dynamics of Multiple Crowdsourcers in Mobile Crowdsourcing Markets

IEEE Network, 2016
Mobile crowdsourcing has shown great potential to address problems with large scale by outsourcing tasks to pervasive smartphone users. Smartphone users will join a crowdsourcer if they can receive satisfying rewards. In a mobile crowdsourcing market, smartphone users have free choice of crowdsourcers, and multiple crowdsourcers will interact with the ...
Jia Peng   +3 more
openaire   +1 more source

Mobile crowdsourcing in the wild

Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2018
Recent research has been devoted to designing mobile applications that encourage users to complete microtasks in everyday context, known as "mobile crowdsourcing". In this case study, we present our ongoing effort of a publicly-available mobile application, Crowdsource, that has over 540,000 global users from 200 countries or regions.
Pei-Yu (Peggy) Chi   +2 more
openaire   +1 more source

Architecture of Mobile Crowdsourcing Systems

2014
This paper proposes a general architecture and a classification scheme for mobile crowdsourcing systems, which are illustrated by two example applications. The aim is to gain a better understanding of typical functionalities and design aspects to be considered during development and evaluation of such collaborative systems.
Fuchs-Kittowski, Frank, Faust, Daniel
openaire   +1 more source

Games for Crowdsourcing Mobile Content

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016
Crowdsourcing of mobile content through games is becoming a major way of populating information-rich online environments. A current research gap is that actual usage patterns of crowdsourcing games has been inadequately investigated. We address this gap by comparing content creation patterns in a game for crowdsourcing mobile content against a non-game
Dion Hoe-Lian Goh   +2 more
openaire   +1 more source

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