VCG-QCP: A Reverse Pricing Mechanism Based on VCG and Quality All-pay for Collaborative Crowdsourcing

Hao, Lifei; Jia, Bing; Liu, Jingbin; Huang, Baoqi; Li, Wuyungerile

doi:10.1109/wcnc45663.2020.9120841

Cited by 3 publications

(1 citation statement)

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“…Extensive experimental outcomes revealed the platform's feasibility and correctness, and proved that the pricing mechanism could sustain market stability. Using VCG and quality of all-pay, Hao [119] presented a collaborative crowdsourcing reverse pricing system (VCG-QCP). The authors examined a real crowdsourcing scenario using the VCG method and introduced the idea of quality all-pay to assess the quality of job of employees that execute the tasks.…”

Section: Finance Budget and Pricingmentioning

confidence: 99%

Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

2022

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Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums. This paper presents a comprehensive survey for this new Crowdsourcing IoT paradigm from four different perspectives: (1) Architectures for Crowd-IoT; (2) Trustworthy, Privacy and Security for Crowd-IoT; (3) Resources, Sharing, Storage and Energy Considerations for Crowd-IoT; and (4) Applications for Crowd-IoT. This survey paper aims to increase awareness and encourage continuing developments and innovations from the research community and industry towards the Crowdsourcing IoT paradigm.

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Section: Finance Budget and Pricingmentioning

confidence: 99%