Improving Signal-Strength Aggregation for Mobile Crowdsourcing Scenarios [PDF]
Sensors, 2021 Due to its huge impact on the overall quality of service (QoS) of wireless networks, both academic and industrial research have actively focused on analyzing the received signal strength in areas of particular interest.
Diego Madariaga +3 more
doaj +2 more sources
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach [PDF]
IEEE Transactions on Mobile Computing, 2023 Collaborative Mobile Crowdsourcing (CMCS) allows platforms to recruit worker teams to collaboratively execute complex sensing tasks. The efficiency of such collaborations could be influenced by trust relationships among workers.
Zhongwei Zhan +8 more
openalex +2 more sources
An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions [PDF]
Sensors, 2018 In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile ...
Ying Hu +3 more
doaj +2 more sources
Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems [PDF]
Sensors, 2016 With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs).
Zhuojun Duan +5 more
doaj +2 more sources
Blockchain-based multi-skill mobile crowdsourcing services
EURASIP Journal on Wireless Communications and Networking, 2022 With the boom in 5G technology, mobile spatial crowdsourcing has shown great dynamism in industrial mobile communications and edge computing node management. But the traditional crowdsourcing system is not advanced enough to adapt to the new environment.
Weize Xu +5 more
doaj +2 more sources
A Deep Reinforcement Learning-Based Contract Incentive Mechanism for Mobile Crowdsourcing Networks
IEEE Transactions on Vehicular Technology, 2023 Mobile crowdsourcing network (MCN) is a promising paradigm to leverage mobile users (MUs) to provide sensing services by data collection. However, owing to limited sensing-computation resource and data security risk, MUs may be unwilling to complete ...
Nan Zhao +3 more
openalex +2 more sources
Efficient Mobile Crowdsourcing for Environmental Noise Monitoring
IEEE Access, 2022 Governments and commissions all around the globe have worked on developing policies and rules as well as actions and measures for continuous assessment and remedies for environmental noise pollution.
Abdulaziz S. Alashaikh +1 more
doaj +2 more sources
A Task Recommendation Model in Mobile Crowdsourcing [PDF]
Wireless Communications and Mobile Computing, 2022 With the development of the Internet of Things and the popularity of smart terminal devices, mobile crowdsourcing systems are receiving more and more attention.
Yinglei Ji +3 more
openalex +2 more sources
A neural-based bandit approach to mobile crowdsourcing
Workshop on Mobile Computing Systems and Applications, 2022 Mobile crowdsourcing has long promised to utilize the power of mobile crowds to reduce the time and monetary cost required to perform large-scale location-dependent tasks, e.g., environmental sensing. Assigning the right tasks to the right users, however,
Shouxu Lin +4 more
openalex +2 more sources
From mobile crowdsourcing to crowd-trusted food price in Nigeria: statistical pre-processing and post-sampling. [PDF]
Sci Data, 2023 Arbia G +6 more
europepmc +3 more sources