Incentive mechanisms for participatory sensing: Survey and research challenges

F Restuccia, SK Das, J Payton - ACM Transactions on Sensor Networks …, 2016 - dl.acm.org
Participatory sensing is a powerful paradigm that takes advantage of smartphones to collect
and analyze data beyond the scale of what was previously possible. Given that participatory …

A survey of incentive mechanisms for participatory sensing

H Gao, CH Liu, W Wang, J Zhao, Z Song… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Participatory sensing is now becoming more popular and has shown its great potential in
various applications. It was originally proposed to recruit ordinary citizens to collect and …

Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones

D Yang, G Xue, X Fang, J Tang - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
Smartphones are programmable and equipped with a set of cheap but powerful embedded
sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and …

Stochastic last-mile delivery with crowdshipping

K Gdowska, A Viana, JP Pedroso - Transportation research procedia, 2018 - Elsevier
For the predicted growth of e-commerce, supply chains need to adapt to new conditions, so
that delivery can be fast, cheap and reliable. The key to success is the last-mile product …

Task assignment optimization in knowledge-intensive crowdsourcing

S Basu Roy, I Lykourentzou, S Thirumuruganathan… - The VLDB Journal, 2015 - Springer
We present SmartCrowd, a framework for optimizing task assignment in knowledge-
intensive crowdsourcing (KI-C). SmartCrowd distinguishes itself by formulating, for the first …

Personality matters: Balancing for personality types leads to better outcomes for crowd teams

I Lykourentzou, A Antoniou, Y Naudet… - Proceedings of the 19th …, 2016 - dl.acm.org
When personalities clash, teams operate less effectively. Personality differences affect face-
to-face collaboration and may lower trust in virtual teams. For relatively short-lived …

Docs: a domain-aware crowdsourcing system using knowledge bases

Y Zheng, G Li, R Cheng - Proceedings of the VLDB Endowment, 2016 - dl.acm.org
Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …

Task recommendation in crowdsourcing systems: A bibliometric analysis

X Yin, H Wang, W Wang, K Zhu - Technology in Society, 2020 - Elsevier
Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …

Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain

D Chatzopoulos, S Gujar, B Faltings… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
The popularity and applicability of mobile crowdsensing applications are continuously
increasing due to the widespread of mobile devices and their sensing and processing …

Assigning tasks to workers based on historical data: Online task assignment with two-sided arrivals

JP Dickerson, KA Sankararaman… - … on Autonomous Agents …, 2018 - par.nsf.gov
Efficient allocation of tasks to workers is a central problem in crowdsourcing. In this paper,
we consider a special setting inspired by spatial crowdsourcing platforms where both …