Quality of information in mobile crowdsensing: Survey and research challenges

F Restuccia, N Ghosh, S Bhattacharjee… - ACM Transactions on …, 2017 - dl.acm.org
Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …

Survey on computational trust and reputation models

DDS Braga, M Niemann, B Hellingrath… - ACM Computing Surveys …, 2018 - dl.acm.org
Over the recent years, computational trust and reputation models have become an
invaluable method to improve computer-computer and human-computer interaction. As a …

$ QnQ $ Q n Q: Quality and Quantity Based Unified Approach for Secure and Trustworthy Mobile Crowdsensing

S Bhattacharjee, N Ghosh, VK Shah… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A major challenge in mobile crowdsensing applications is the generation of false (or spam)
contributions resulting from selfish and malicious behaviors of users, or wrong perception of …

Data Quality in Human-Centric Sensing Based Next Generation IoT Systems: A Comprehensive Survey of Models, Issues and Challenges

K Banti, M Louta, P Baziana - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Human-Centric Sensing (HCS), a novel approach in the evolution of the Next Generation
Internet of Things (NG-IoT), exploits the ubiquity of diverse smart devices, including …

[PDF][PDF] Current status of particulate matter pollution in Europe and future perspectives: a review

F Gozzi, G Della Ventura, A Marcelli… - J. Mater. Environ …, 2017 - jmaterenvironsci.com
Particulate matter (PM) pollution is currently one of the main concerns at a global scale for its
adverse effects on the human health, environment and climate. In spite of the considerable …

Mobile crowdsensing for road sustainability: Exploitability of publicly-sourced data

LC Klopfenstein, S Delpriori, P Polidori… - … Review of Applied …, 2020 - Taylor & Francis
This paper examines the opportunities and the economic benefits of exploiting publicly-
sourced datasets of road surface quality. Crowdsourcing and crowdsensing initiatives …

TPSense: a framework for event-reports trustworthiness evaluation in privacy-preserving vehicular crowdsensing systems

Z Xu, W Yang, Z Xiong, J Wang, G Liu - Journal of Signal Processing …, 2021 - Springer
Vehicles with abundant sensors and sophisticated communication capabilities have
contributed to the emergency of vehicular crowdsensing systems. Vehicular crowdsensing is …

Publish or drop traffic event alerts? Quality-aware decision making in participatory sensing-based vehicular CPS

RP Barnwal, N Ghosh, SK Ghosh, SK Das - ACM Transactions on Cyber …, 2019 - dl.acm.org
Vehicular cyber-physical systems (VCPS), among several other applications, may help
address an ever-increasing challenge of traffic congestion in large cities. Nevertheless …

Participant incentive mechanism toward quality-oriented sensing: understanding and application

R Yu, J Cao, R Liu, W Gao, X Wang… - ACM Transactions on …, 2019 - dl.acm.org
The ubiquity of ever-more-capable mobile devices, especially smartphones, brings forth
participatory sensing to collect and interpret information. It can achieve unprecedented …

REFORM: reputation based fair and temporal reward framework for crowdsourcing

S Kanaparthy, S Damle, S Gujar - arXiv preprint arXiv:2112.10659, 2021 - arxiv.org
Crowdsourcing is an effective method to collect data by employing distributed human
population. Researchers introduce appropriate reward mechanisms to incentivize agents to …