A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Federated learning in the sky: Aerial-ground air quality sensing framework with UAV swarms
Due to air quality significantly affects human health, it is becoming increasingly important to
accurately and timely predict the air quality index (AQI). To this end, this article proposes a …
accurately and timely predict the air quality index (AQI). To this end, this article proposes a …
Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis
The significance of air pollution and the problems associated with it are fueling deployments
of air quality monitoring stations worldwide. The most common approach for air quality …
of air quality monitoring stations worldwide. The most common approach for air quality …
Sensors and systems for air quality assessment monitoring and management: A review
Air quality (AQ) is a global concern for human health management. Therefore, air quality
monitoring (AQM) and its management is a must-needed activity for the current world …
monitoring (AQM) and its management is a must-needed activity for the current world …
Trust management for Internet of Things: A comprehensive study
Driven by the rapid development of the Internet of Things (IoT) technology, the issue of trust
has become increasingly apparent and received considerable scholarly attention in recent …
has become increasingly apparent and received considerable scholarly attention in recent …
Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review
Abstract According to the World Health Organization (WHO), air pollution kills seven million
people every year. Outdoor air pollution is a major environmental health problem affecting …
people every year. Outdoor air pollution is a major environmental health problem affecting …
Privacyeafl: Privacy-enhanced aggregation for federated learning in mobile crowdsensing
Mobile crowdsensing (MCS) combined with federated learning, as an emerging data
collection and intelligent process paradigm, has received lots of attention in social networks …
collection and intelligent process paradigm, has received lots of attention in social networks …