Adaptive hybrid model-enabled sensing system (HMSS) for mobile fine-grained air pollution estimation

X Chen, S Xu, X Liu, X Xu, HY Noh… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Fine-grained city-scale outdoor air pollution maps provide important environmental
information for both city managers and residents. Installing portable sensors on vehicles (eg …

DeliverSense: Efficient delivery drone scheduling for crowdsensing with deep reinforcement learning

X Chen, H Wang, Z Li, W Ding, F Dang, C Wu… - Adjunct Proceedings of …, 2022 - dl.acm.org
Delivery drones provide a promising sensing platform for Mobile Crowdsensing (MCS) due
to their high mobility and large-scale deployment. However, due to limited battery lifetime …

Microstructure design and optimization of high-sensitivity interdigital capacitive humidity sensor based on uncertainty analysis

D Li, A Chen, R Na, J **g, C Hu, D Zheng, S Wang - Measurement, 2023 - Elsevier
The microstructure of the interdigital capacitive humidity sensor plays a critical role in
achieving high sensitivity in measurements. Performing a quantitative evaluation to assess …

TRACT: Towards large-scale crowdsensing with high-efficiency swarm path planning

Z Li, F Man, X Chen, B Zhao, C Wu… - Adjunct Proceedings of the …, 2022 - dl.acm.org
Unmanned Aerial Vehicle (UAV) sensing swarms have grown in popularity because of their
advantages of low-cost, high mobility, and high maneuverability in crowdsensing. The …

A platform-based incentive mechanism for autonomous vehicle crowdsensing

A Chakeri, X Wang, Q Goss, MI Akbas… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
In this article, we present an incentive mechanism for Vehicular Crowdsensing in the context
of autonomous vehicles (AVs). In particular, we propose a solution to the problem of sensing …

A reliable and cost-efficient code dissemination scheme for smart sensing devices with mobile vehicles in smart cities

P Singh, A Kaur, N Kumar - Sustainable Cities and Society, 2020 - Elsevier
The smart cities constitute sensing devices that collect a large amount of data. The sensor-
based devices are widely using software-defined technology. The adaptation of software …

MTRFN: Multiscale temporal receptive field network for compressed video action recognition at edge servers

L He, M Zhang, S Zhang, L Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the wide deployment of Internet of Things monitoring terminals, a tremendous number
of videos are accumulated continuously. Big data processing and analysis-based action …

SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing

LG Jaimes, H Chintakunta… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
This paper presents an incentive mechanism for vehicular crowdsensing (VCS). Here, a
platform selects a set of spots or Places of sensing Interest (PsI) and outsources the …

Smart public transportation sensing: enhancing perception and data management for efficient and safety operations

T Zhang, X **, S Bai, Y Peng, Y Li, J Zhang - Sensors, 2023 - mdpi.com
The use of cloud computing, big data, IoT, and mobile applications in the public
transportation industry has resulted in the generation of vast and complex data, of which the …

Incentivizing mobility of multi-agent vehicle swarms with deep reinforcement learning for sensing coverage optimization

M Azam, X Chen, S Xu - Adjunct Proceedings of the 2022 ACM …, 2022 - dl.acm.org
Mobile Crowdsensing Systems (MCS) often utilize non-dedicated mobile agents (eg,
ridesharing cars) equipped with sensors to collect urban data as they move around a city …