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Altruistic user-oriented task allocation techniques for mobile crowdsensing
Task allocation is the mechanism by which sensing tasks are selected and allotted to participating users in a mobile crowdsensing (MCS) environment....
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ContinuousSensing: a task allocation algorithm for human–robot collaborative mobile crowdsensing with task migration
Mobile crowdsensing (MCS) represents a novel and innovative sensing paradigm. With the advancement of the Internet of Things (IoT) and communication...
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Task recommendation based on user preferences and user-task matching in mobile crowdsensing
In mobile crowdsensing, the sensing platform recruits users to complete large-scale sensing tasks cooperatively. In order to guarantee the quality of...
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Credible nodes selection in mobile crowdsensing based on GAN
High-quality perception data is the basis of the operation of mobile crowdsensing platform. False data has a negative impact on the perception...
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Provisioning Load Balancing in Time-Sensitive Task Allocation for Mobile Crowdsensing
Task allocation is the mechanism which enables the allotment of sensing tasks to participating users in a mobile crowdsensing (MCS) environment. Task...
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A survey of mobile crowdsensing and crowdsourcing strategies for smart mobile device users
Smart handheld devices such as smartphones are capable of sensing and interacting with surrounding environments. This emerging capability of...
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An incentive mechanism design for multitask and multipublisher mobile crowdsensing environment
Smartphones and mobile networks have created a new paradigm called mobile crowdsensing for data gathering about a large-scale phenomenon. However, in...
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Mobile crowdsensing with energy efficiency to control road congestion in internet cloud of vehicles: a review
Traveling demand increased rapidly on the roads of big cities. Traffic congestion is observed on a regular basis and causes serious problems for...
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Privacy-Preserving in Mobile Crowdsensing
Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using...
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Bilateral Personalized Information Fusion in Mobile Crowdsensing
In mobile crowdsensing, information fusion is an important process to achieve data aggregation results. In recent years, people have paid more and...
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Cost-Quality Aware Compressive Mobile Crowdsensing
With ubiquitous mobile devices, mobile crowdsensing (MCS) emerges as a promising paradigm for monitoring the overall status of a large-scale area....
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Collaborative Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose PTASIM, an incentive mechanism that explores cooperation with POI-tagging App for Mobile Edge Crowdsensing (MEC). PTASIM...
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Self-evolving reasoning for task-user relationships in mobile crowdsensing via the autonomic knowledge graph
A self-evolving reasoning method for task-user relationships based on the autonomic knowledge graph is proposed for the problem of existing task...
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Traceable and Secure Data Sharing in Mobile Crowdsensing
In mobile crowdsensing, a crowd of mobile devices collect data and utilize cloud infrastructures to share data with others. However, as the cloud...
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Incentive Mechanism for Mobile Crowdsensing A Game-theoretic Approach
Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g.,...
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Long-Term Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose an incentive mechanism for crowdsensing under the continuous and time-varying scenario using a three-stage Stackelberg...
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FedLens: federated learning-based privacy-preserving mobile crowdsensing for virtual tourism
FedLens is the federated learning model based on viewing world tourist spots virtually in a privacy-preserving manner. We define Virtual Tourism as...
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Fairness task assignment strategy with distance constraint in Mobile CrowdSensing
Mobile CrowdSensing(MCS) has become a promising paradigm and attracted significant attention from academia, in which mobile users can complete...
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A Blockchain-Based Mobile Crowdsensing and Its Incentive Mechanism
Mobile crowdsensing (MCS) has become a crucial paradigm for the efficient implementation of large-scale sensing tasks in smart cities. However,...
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Spatiotemporal Task Allocation in Mobile Crowdsensing
With the rich sensing ability and extensive usage of various sensors, mobile crowdsensing (MCS) has become a new paradigm to collect sensing data for...