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MagiCrowd: A crowd based incentive for location-aware crowd sensing

2016 IEEE Wireless Communications and Networking Conference, 2016
Mobile devices have become more and more powerful with lots of embedded sensors providing sensibility of various data, which makes crowd sensing a compelling paradigm followed by emerging applications. In this paper, we design a crowd based incentive mechanism to stimulate participants joining sensing campaigns with consideration of location privacy ...
Yao Wu   +4 more
openaire   +2 more sources

Joint Semantic Extraction and Resource Optimization in Communication-Efficient UAV Crowd Sensing

IEEE Transactions on Network and Service Management
With the integration of IoT and 5G technologies, UAV crowd sensing has emerged as a promising solution to overcome the limitations of traditional Mobile Crowd Sensing (MCS) in terms of sensing coverage.
Er-He Yang   +7 more
semanticscholar   +1 more source

A UAV-Assisted Truth Discovery Approach With Incentive Mechanism Design in Mobile Crowd Sensing

IEEE/ACM Transactions on Networking
Incentive mechanisms are essential to incentive workers carrying mobile handheld devices to participate in mobile crowd sensing and finally achieve good truth discovery performance. However, malicious workers may report false or malicious data to defraud
Ping Wang   +5 more
semanticscholar   +1 more source

Mobile crowd sensing based dynamic traffic efficiency framework for urban traffic congestion control

Sustainable Computing: Informatics and Systems, 2021
Mobile Crowd Sensing (MCS) is a developing category of Internet of Things applications that are used in Intelligent Transportation System to improve the transport system.
Akbar Ali   +3 more
semanticscholar   +1 more source

IoT for Crowd Sensing and Crowd Sourcing

2020
This chapter starts with the origin of the concept of crowdsourcing followed by the understanding of the concept of crowd sensing with the help of various examples of well-known International brands. The concept of IOT is explained in brief along with sensors and actuators etc. Due to existence of IOT, transformation of crowdsourcing into crowd sensing
openaire   +1 more source

Mobile crowd sensing based on CICN

2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017
In this paper, we propose a Mobile Crowd Sensing application based on Community Information-Centric Networking to collect opportunistic sensing data in limited area where it restricts radius of Bluetooth Low Energy beacon. The application has more valuable features by comparing with common Mobile Crowd Sensing one.
Taewan You   +2 more
openaire   +2 more sources

SHIP: A State-Aware Hybrid Incentive Program for Urban Crowd Sensing With for-Hire Vehicles

IEEE transactions on intelligent transportation systems (Print)
Benefiting from unified sensors and long-term traffic engagement, for-hire vehicles (FHVs) are widely considered the mainstay for vehicular crowd sensing (VCS) tasks.
Han Jiang   +5 more
semanticscholar   +1 more source

History-based Incentive for Crowd Sensing

Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing, 2014
An increasing popularity of smartphones affects interaction behaviors between people. The ubiquity of smartphones with embedded sensors can enable attractive sensing applications for collecting and reporting data in participatory sensing environment.
Tomoya Tsujimori   +4 more
openaire   +1 more source

UMIM: Utility-Maximization Incentive Mechanism for Mobile Crowd Sensing

IEEE Transactions on Mobile Computing
Mobile Crowd Sensing (MCS) represents a novel paradigm which utilizes intelligent devices carried by mobile users to collect and transmit data. Appropriate incentives are essential to recruit enough participants for sensing tasks.
Xin-Wei Yao   +5 more
semanticscholar   +1 more source

A Mobility Model for Crowd Sensing Simulation

International Journal of Interdisciplinary Telecommunications and Networking, 2017
Mobile Crowd Sensing (MCS) is a class of sensor networks that uses mobile devices for large scale sensing. These networks have some very specific characteristics because of human (smartphone owners) involvement in its operations. Hence, it is important to have a model that takes into account the unique characteristics and opportunities of human ...
Jose Mauricio Nava Auza   +1 more
openaire   +2 more sources

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