A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
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 …

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 …

A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges

FS Abkenar, P Ramezani, S Iranmanesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Edge computing leverages computing resources closer to the end-users at the edge of the
network, rather than distant cloud servers in the centralized IoT architecture. Edge …

Deployment of IoV for smart cities: Applications, architecture, and challenges

LM Ang, KP Seng, GK Ijemaru, AM Zungeru - IEEE access, 2018 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of
Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the …

Sensors and systems for air quality assessment monitoring and management: A review

D Singh, M Dahiya, R Kumar, C Nanda - Journal of environmental …, 2021 - Elsevier
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 …

RAQ–A random forest approach for predicting air quality in urban sensing systems

R Yu, Y Yang, L Yang, G Han, OA Move - Sensors, 2016 - mdpi.com
Air quality information such as the concentration of PM2. 5 is of great significance for human
health and city management. It affects the way of traveling, urban planning, government …

Towards smart city: sensing air quality in city based on opportunistic crowd-sensing

J Dutta, C Chowdhury, S Roy, AI Middya… - Proceedings of the 18th …, 2017 - dl.acm.org
Cities are expanding and more and more citizens are exposed to air pollutants both indoors
and outdoors. This may have adverse effects on citizens' health. In this paper, we present …

Mobile crowd sensing–taxonomy, applications, challenges, and solutions

DE Boubiche, M Imran, A Maqsood… - Computers in Human …, 2019 - Elsevier
Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

HazeEst: Machine learning based metropolitan air pollution estimation from fixed and mobile sensors

K Hu, A Rahman, H Bhrugubanda… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Metropolitan air pollution is a growing concern in both develo** and developed countries.
Fixed-station monitors, typically operated by governments, offer accurate but sparse data …

Efficient data gathering and estimation for metropolitan air quality monitoring by using vehicular sensor networks

YC Wang, GW Chen - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Owing to the rising awareness of environmental protection and health, people put a high
premium on air pollution in their living environment. It thus draws considerable attention to …