Search
Search Results
-
A blockchain-based framework for data quality in edge-computing-enabled crowdsensing
With the rapid development of mobile technology and smart devices, crowdsensing has shown its large potential to collect massive data. Considering...
-
Stable Worker–Task Assignment in Mobile Crowdsensing Applications
Mobile crowdsensing (MCS) is an emerging form of crowdsourcing, which facilitates the sensing data collection with the help of mobile participants...
-
REACH: Robust Efficient Authentication for Crowdsensing-based Healthcare
Crowdsensing systems use a group of people to collect and share sensor data for various tasks. One example is the crowdsensing-based healthcare...
-
Coopetition-Aware Incentive Mechanism for Mobile Crowdsensing
Most of the existing works on MCS only consider designing incentive mechanisms for a single MCS platform. In this chapter, we study the incentive...
-
Fair Incentive Mechanism for Mobile Crowdsensing
In this chapter, we jointly address practical issues in the incentive mechanism for MCS to fairly incentivize high-quality users’ participation, like...
-
Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events
Smart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In...
-
Security and Privacy for Mobile Crowdsensing: Improving User Relevance and Privacy
Mobile crowdsensing (MCS) leverages smart devices for diverse data collection tasks, ranging from noise measurements to traffic congestion levels....
-
Multi-agent mobile crowdsensing by pervasive machines: a robust task allocation approach
Mobile crowd sensing (MCS) is an attractive and innovation paradigm in which a crowd of users equipped with smart mobile devices conduct sensing...
-
SecCDS: Secure Crowdsensing Data Sharing Scheme Supporting Aggregate Query
This paper presents SecCDS, a secure crowdsensing data sharing scheme that supports aggregate queries ensuring location privacy and hiding query...
-
A Secure Auction Mechanism for Task Allocation in Mobile Crowdsensing
Mobile crowdsensing has attracted widely attention as a new sensing paradigm, in which mobile users collect sensing data by their devices embedded...
-
Multi-task Allocation Under Multiple Constraints in Mobile Crowdsensing
Task allocation is a key technology in the research of mobile crowdsensing. The previous research only focused on single-task allocation, and seldom...
-
A Multi-task Mobile Crowdsensing Scheme with Conditional Privacy Preserving for Vehicle Networks
Mobile crowdsensing recruits a group of users and utilizes their sensing devices to accomplish the sensing task. It can offer a flexible and scalable...
-
FedMCS: A Privacy-Preserving Mobile Crowdsensing Defense Scheme
Mobile crowdsensing (MCS) provides a promising avenue for distributed data sharing. However, the increased privacy of workers and the existence of...
-
Mobile Crowdsourcing From Theory to Practice
This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It...
-
Task reduction using regression-based missing data imputation in sparse mobile crowdsensing
Mobile Crowd Sensing (MCS) involves allocation of sensing tasks associated with an area of interest to a crowd of participants over time....
-
Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines
Smartphones have found their way into many domains because they can be used to measure phenomena of common interest. The Global Overview Report...
-
Towards Privacy-Preserving Decentralized Reputation Management for Vehicular Crowdsensing
The reputation of a vehicle is a critical role in most vehicular crowdsensing applications, which incentivizes vehicles to perform crowdsensing tasks...
-
AI-Driven Attack Modeling and Defense Strategies in Mobile Crowdsensing: A Special Case Study on Fake Tasks
Technological advancements in information and communication have brought up ubiquitous sensing as a key concept to obtain valuable crowd data. Mobile...
-
Blockchain-Based Efficient Incentive Mechanism in Crowdsensing
In recent years, with the popularization and widespread use of mobile smart devices, Crowdsensing has gradually become one of the current research...
-
A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems
Global air pollution is becoming increasingly severe. In this context, monitoring air quality at all times and locations is necessary. Traditionally,...