Quality of information in mobile crowdsensing: Survey and research challenges
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 …
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 …
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
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 …
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
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 …
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 …
adverse effects on the human health, environment and climate. In spite of the considerable …
Mobile crowdsensing for road sustainability: Exploitability of publicly-sourced data
This paper examines the opportunities and the economic benefits of exploiting publicly-
sourced datasets of road surface quality. Crowdsourcing and crowdsensing initiatives …
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 …
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
Vehicular cyber-physical systems (VCPS), among several other applications, may help
address an ever-increasing challenge of traffic congestion in large cities. Nevertheless …
address an ever-increasing challenge of traffic congestion in large cities. Nevertheless …
Participant incentive mechanism toward quality-oriented sensing: understanding and application
The ubiquity of ever-more-capable mobile devices, especially smartphones, brings forth
participatory sensing to collect and interpret information. It can achieve unprecedented …
participatory sensing to collect and interpret information. It can achieve unprecedented …
REFORM: reputation based fair and temporal reward framework for crowdsourcing
Crowdsourcing is an effective method to collect data by employing distributed human
population. Researchers introduce appropriate reward mechanisms to incentivize agents to …
population. Researchers introduce appropriate reward mechanisms to incentivize agents to …