Work

FairSense: Fairness-Aware Urban Sensing with Submodular Spatio-Temporal Reward Maximization

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

DOI: 10.1109/mass62177.2024.00035

Authors: Tonmoy Dey, Guang Wang

Institution: Florida State University

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Reduced inequalities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403760896

FWCI: 0.447

Cites: 30

Cited by: 1

Related to: 10